Alternatives to ruffus

Store, archive, and manage multi-omic data sets. Illumina Connected Analytics provides a secure platform for genomic data to operationalize informatics, and drive scientific insight. CWL and Nextflow allow you to easily import, build and edit workflows. Leverage DRAGEN bioinformatics pipelines. Organize your data in a safe workspace and share it with the world in a compliant way. Our platform allows you to keep your data in the cloud. Visualize and interpret data using a flexible analysis tool, such as JupyterLab Notebooks. Data warehouses allow you to aggregate, query and analyze sample data and population data. Scale analysis operations through the creation, validation, automation, and deployment of informatics pipelines. Reduce the time needed to analyze genomic data when quick results are a key factor. Enable comprehensive profiling for the identification of novel drug targets and biomarkers of drug response. Data can be transferred seamlessly from Illumina sequencing platforms.

Stop messing around with broken informatics tools and cloud infrastructure. Get started today on uncovering biological insights. Scientists are often limited by the fragmentation of tools across biology and bioinformatics teams. To help teams accelerate their R&D, we created a harmonized platform for bioinformatics between the cloud and the wet lab. Import raw data from your cloud service provider, your team's instruments, or your cloud. Create and deploy custom bioinformatics workflows using any language. Stop wasting time tinkering with your infrastructure. You can easily run any workflow and keep track of every analysis. Interactive visualizations of NGS data ready-to-go with point-and click plots Latch integrates with your AWS S3. You can access hundreds of terabytes in organic filesystems you are familiar with. Create bioinformatics workflows, and dynamically create no-code interfaces with Python with tunable storage and compute.

Partek bioinformatics software provides powerful visualization and statistical tools in an intuitive interface. Researchers of all levels can explore genomic data faster and more efficiently than ever before. We turn data into discovery®. Our intuitive interface makes it easy for scientists to perform sophisticated array and NGS analysis using pre-installed workflows. Public and custom statistical algorithms can be used together to quickly and accurately distill NGS data into biological insights. Genome browser, Venn diagrams and heat maps, as well as other interactive visualizations, show the biology of your next generation sequencing and array data in vivid color. Our Ph.D. scientists can be reached at any time to assist with your NGS analysis. This product is specifically designed for next-generation sequencing applications that require high-level computing. It offers flexible installation and management options.

Avogadro, an advanced molecule editor/visualizer, is designed for cross-platform usage in computational chemistry and molecular modeling. It provides high-quality rendering and a powerful plugin structure. Avogadro, a free and open-source molecular editor/visualization tool, is available for Mac, Windows, and Linux. It can be used in computational chemistry and molecular modeling as well as materials science and other related areas. It provides flexible, high-quality rendering and a powerful plugin structure.

Improve team productivity and generate greater returns on research. Interactive data visualization allows you to share private and public data with other teams. Rosalind is a multi-tenant SaaS designed for scientists. Analyze, share, interpret, plan, validate and generate new hypotheses. Code-free visualization, AI-powered interpretation, best-in-class collaboration. ROSALIND is suitable for scientists of all levels, since it does not require any programming or bioinformatics knowledge. ROSALIND's powerful downstream analysis and collaborative capabilities make it a platform for discovery and data hub that connects experiment design, quality assurance, and pathway exploration. ROSALIND manages tens or thousands of cores of computing and petabytes in storage to dynamically scale each experiment up and down to deliver results. Share results instantly with other scientists around the world with audit tracking, so everyone can concentrate on interpretation and not the processing.

The Bioconductor Project aims to develop open source software that allows for repeatable and precise analysis of biological data. We encourage a collaborative and inclusive community of data scientists and developers. Resources to maximize Bioconductor's potential. Our tutorials, guides, documentation, and guides cover everything from basic functionality to advanced features. Bioconductor is an open-source and open-development software that uses the R statistical language. It has an active user base and two releases per year. Bioconductor offers Docker images with every release, and supports Bioconductor in AnVIL. Bioconductor, founded in 2001, is an open-source project widely used in bioinformatics. Over 1,000 developers have contributed over 2,000 R packages, which are downloaded over 40 million times per year. Bioconductor is cited in over 60,000 scientific publications.

Imageio is an image library written in Python that allows you to easily read and write a variety of image data including animated images, volumetrics data, and scientific formats. It runs on Python 3.5+ and is cross-platform. Imageio is written entirely in Python, making it easy to install. Imageio is compatible with Python 3.5+. It works with Pypy. Imageio is dependent on Numpy, Pillow. For some formats, imageio needs additional libraries/executables (e.g. Imageio can help you download/install ffmpeg. You need to know where to look for the causes of problems if something doesn't work. This overview will help you understand how things work and where they might go wrong.

It uses a familiar, non XML syntax and compiles into Python modules to maximize performance. Mako's syntax borrows from many other sources, including Jinja2 templates, Cheetah and Myghty, as well as the best ideas of Genshi and Django. Conceptually Mako is embedded Python (i.e. Python Server Page) language. It refines the familiar ideas o componentized layout and inheritance to create one of the most flexible and straightforward models. While still keeping close ties to Python scoping and calling semantics, Mako is conceptually an embedded Python (i.e. Mako's method is very efficient, and was originally designed to be as fast as Cheetah. Today Mako is very similar in speed to Jinja2, who uses a similar approach, and for which Mako was an inspiration. You can access variables from the template's request context as well as their enclosing scope.

Pygame is a collection of Python modules that can be used to create video games. Pygame is an extension of the SDL library. This allows you create full-featured games and multimedia programs using the python programming language. Pygame is portable and can be used on almost every platform and operating system. Pygame is completely free. Pygame is free and open-source. You can use it to create commercial, freeware, shareware, or open-source games. Dual-core CPUs are common and 8-core CPUs easily available on desktop systems, multi-core CPUs allow you to do more with your game. Select pygame functions will release the dreaded Python GIL. This is something you can do with C code. Optimized C and assembly code are used for core functions. C code is often 10-20x faster than Python code, while assembly code can easily be 100x faster than Python code. It is compatible with many operating systems. You just need to apt-get or emerge.

The NumPy vectorization and indexing concepts are fast and flexible. They are the current de-facto standard in array computing. NumPy provides comprehensive mathematical functions, random numbers generators, linear algebra routines and Fourier transforms. NumPy is compatible with a wide variety of hardware and computing platforms. It also works well with sparse array libraries, distributed, GPU, or GPU. NumPy's core is C code that has been optimized. Enjoy Python's flexibility with the speed and efficiency of compiled code. NumPy's high-level syntax makes it easy for programmers of all backgrounds and experience levels. NumPy brings the computational power and simplicity of languages such as C and Fortran into Python, making it a language that is much easier to learn and to use. This power is often accompanied by simplicity: NumPy solutions are often simple and elegant.

The QIAGEN CLC Geneomics Workbench is a powerful tool that works for all workflows. It is easy to overcome data analysis challenges with cutting-edge technology, unique features and algorithms that are widely used by scientists in industry and academia. Bioinformatics software solutions that are user-friendly allow for comprehensive analysis and interpretation of your NGS data. This includes de novo assembly and transcriptome assembly, resequencing analysis, WES and targeted panel support, variant calling, variant calling, RNA–seq, ChIP–seq and DNA methylation analysis (bisulfite sequence analysis). You can analyze your RNA-seq (miRNA, smallRNA) and smallRNA (lncRNA), data using easy-to-use transcriptomics workflows that allow for differential expression analysis at both gene and transcript levels. QIAGEN CLC Genomics Workbench was designed to support a wide variety of NGS bioinformatics programs.

Microsoft's experience and scale in managing exabyte-scale workloads can be used to reduce the need for you to manage your own data center. Microsoft Genomics on Azure gives you the performance and scalability that comes with a supercomputing facility of the highest caliber, all on demand. Take advantage of an MPI backend network that has a latency of under three microseconds, and a non-blocking throughput of 32 gigabits per seconds (Gbps). This backend network features remote direct memory access, which allows parallel applications to scale up to thousands of cores. Azure offers high memory and HPC class CPUs to help get results quickly. Scale up or down according to your needs and only pay for what you actually use. Azure's worldwide network of data centers can help you meet your compliance needs and address data sovereignty issues. Easy integration into your existing pipeline code with a REST API and simple Python client.

Geneyx Analysis provides a comprehensive solution to analyze next-generation sequencing data. It can be used by commercial and hospital labs. This advanced platform integrates AI and machine learning features to identify new biomedical insights while improving diagnostic yields. Geneyx Analysis provides a transparent and intuitive solution that allows clinicians and researchers complete control over their data analysis. This reduces the complexity of regulating internal bioinformatics workflows. Our comprehensive annotation engine can support the analysis of all genetic variations, including structural and copy-number variations, as well as regulatory components. Protocols can also be fully customized for gene panels, genomes, or exomes. Geneyx Analysis automates diagnostics from sequencer to report while creating a comprehensive resource of novel variants.

Eidogen-Sertanty’s Target Informatics platform (TIP), is the first global structural informatics system. It enables researchers to examine the druggable genome from an structural perspective. TIP increases the rapidly expanding body experimental protein structure information and transforms structure based drug discovery from an inefficient, data-scarce discipline to a high-throughput science with rich data. TIP is a tool that bridges the knowledge gap between bioinformatics (bioinformatics) and cheminformatics. It provides drug discovery researchers with a knowledge bank of information that is both unique and highly complementary to existing bio- and cheminformatics platform information. TIP's seamless integration between structural data management technology and unique target-to-lead analysis capabilities enhances every stage of the discovery pipeline.

Qlucore Omics Explorer makes it so simple to use that you don't have to rely on a specialist in bioinformatics for analysis and exploration of your Omics or NGS data sets. Qlucore Omics Explorer, a next-generation D.I.Y bioinformatics software, is available for research in academia, life science, and plant-tech industries. The flexible and powerful visualization-based data analysis tool delivers instant results and allows for the exploration and visualization of large data. The software was designed to allow you to choose the best workflow for your experiments and maximize the results of your research. You will be able see your results instantly by combining instant visualization with powerful statistics, flexible selection methods, and powerful statistics. You decide the workflow and starting point for your own exploration. You have complete control over the exploration process and can tailor it to your needs.

HyperProtein, Hypercube, Inc.'s latest product, focuses on the computational science of protein sequences. The product allows you to analyze one-dimensional sequences of protein as well as subsequent three-dimensional structures. The product's most important feature is the relationship between structure and sequence. HyperProtein is not like other software programs that can perform specific functions, such as sequence alignment or protein sequence sequence, but it does combine a variety of Bioinformatics tools and Molecular Modeling tools that are related to the science that begins with a protein sequence.

Choose two custom cell groups and compare their top differentially-expressed genes. Use millions of cells in the integrated CZ CELLxGENE Corpus for powerful analyses. Use an interactive, no-code interface to perform interactive analyses of a dataset. Explore how spatial, environmental and genetic factors influence gene expression patterns. Use published datasets to understand them or as a starting point for identifying new cell subtypes and states. Census allows you to access any custom slice of standard cell data from CZ CELLxGENE in R or Python. Explore an interactive encyclopedia that contains 700+ cell types, detailed definitions, markers genes, lineage and relevant datasets. Browse and download 1,000+ datasets and hundreds of standardized data sets that characterize the functionality of healthy human and mouse tissues.

Pluto was founded in 2021 by the Wyss Institute of Harvard University. It has been a trusted partner for many life sciences organizations across the country, from biotech start-ups and public biopharma companies. Our cloud-based platform allows scientists to manage all their data, run bioinformatics analysis, and create interactive visualizations that are published-quality. The platform is being used for a variety of biological applications. These include preclinical and translational science research, cell and gene therapies and drug discovery and development.

Universal Analysis Software (UAS), a platform that analyzes and manages forensic genomic data, simplifies complex bioinformatics. The UAS is an all-inclusive solution that includes analysis modules for all ForenSeq workflows, including ForenSeq MainstAY and ForenSeq Kintelligence. It also contains ForenSeq DNA Signature prep, ForenSeq DNA Whole Genome, ForenSeq Control Region, ForenSeq mtDNA Whole Genome and ForenSeq UAS Control Region. UAS quickly generates FASTQ files and performs alignment. It also calls forensically relevant variants using NGS data. The extensive testing behind UAS's variant calls ensures that they are reliable and deliver accurate results in a user-friendly package that does not require per-seat licenses. UAS is a tool for forensic analysts. It streamlines the handling of base-bybase sequence information. It also includes a variety of features that allow you to perform everything from a quick review of everyday STR profiles to detailed analysis on the most difficult samples.

statsmodels is an Python module that provides classes, functions, and methods for the estimation of various statistical models. It also allows for statistical data exploration and statistical tests. Each estimator has a comprehensive list of available result statistics. To ensure accuracy, the results are compared to existing statistical packages. The package is available under the Modified BSD (3 clause) license. statsmodels allows you to specify models using R-style formulas or pandas DataFrames. To see the available results, take a look at dir (results). Results describe attributes. __doc__, results methods have their own documentation strings. Numpy arrays can be used in place of formulas. Installing statsmodels as part of the Anaconda distribution is the easiest way to do so. This cross-platform distribution allows for data analysis and scientific computing. This is the preferred method of installation for most users.

Data management and simplified Bioinformatics are ideal for labs that are just getting started or for those who want to scale up their next-generation sequencing operations quickly. BaseSpace Sequence hub is an integral part of the BaseSpace Suite and is a direct extension to your Illumina instruments. BaseSpace Sequence hub allows you to manage your data with ease using a set of curated analysis apps. BaseSpace Sequence hub is powered by Amazon Web Services. Provides a secure environment. You can set up runs and monitor the quality of instrument runs. By converting sequence data into a standard format, and streaming it directly to the cloud, this tool promotes efficiency. Access to computing resources is available without the need for capital expenditures. Access to a variety of genomic analysis apps, whether provided by you, Illumina or third parties, increases organizational productivity.

The L7 Enterprise Science Platform (L7|ESP®) is a comprehensive platform designed to contextualize data and remove business silos through process orchestration. This all-in-one solution supports the digitalization of data and scientific processes within life sciences organizations. It includes native applications like L7 LIMS, L7 Notebooks, L7 MES, and L7 Scheduling. L7|ESP seamlessly integrates with third-party applications, lab instruments, and devices to consolidate all data into a unified model. Featuring a low-code/no-code workflow designer and numerous pre-built connectors, it ensures rapid implementation and full automation. Utilizing a single data model, L7|ESP enhances advanced bioinformatics, AI, and ML to provide new scientific and operational insights. L7|ESP addresses the data and lab management needs and challenges within the life sciences sector, specifically targeting: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Explore the L7 Resource Center for on-demand recordings, case studies, datasheets, and more: l7informatics dot com/resource-center

Loupe Browser is an intuitive visualization software that allows you to explore and analyze 10x Genomics Chromium or Visium data. LoupeR can convert Seurat objects to Loupe Browser files. The Loupe Browser interface's navigation and interactive features are based on a dataset of lung squamous-cell carcinoma. The workspace is centered on the view panel, where single points representing barcodes of cells are shown in different projections. Each point represents a barcode. The vast majority of them correspond to a cell. The default projection, created by the Cell Ranger pipeline, is the tSNE plot. Other projections are also available. You can move the plot by dragging the mouse over cells. Zoom in and out using the mouse wheel or trackpad. Cluster labels will appear as you move the mouse over the plot. This is useful for data with a large number of precomputed groups.

Pandas is an open-source data analysis and manipulation tool that is fast, flexible, flexible, and easy to use. It was built on top the Python programming language. Tools for reading and writing data between memory data structures and various formats: CSV, text files, Microsoft Excel, SQL databases and the fast HDF5 format. Intelligent data alignment and integrated handling missing data: Use a powerful group engine to perform split-apply/combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. You can even create domain-specific offsets and join time sequences without losing data.

Combinatorial barcoding technology removes the limitations and frustrations associated with yesterday's single cell approach. It eliminates the need for a specialized instrument and allows you to make new discoveries. Unleash the power of a single cellular. In a single experiment you can profile up to 1,000,000 cells or nuclei, allowing for unprecedented scientific progress. Evercode's combinatorial barcoding technology is superior to droplet-based approaches. You can now expand the size of your experiment without the restrictions of the past. Get better data quality. All without the need to use finicky hardware which is already outdated. You can perform single-cell experiments using a pipette, common laboratory equipment and a pipette. Split-pool combinatorial barscoding allows for scalable single cells, without the need for a custom instrument. Scalable single-cell sequence without the instrument. Each kit includes end-to-end reagents for solution and intuitive analysis software.

Correlation Engine, an interactive omics database, places private omics data into a biological context by combining it with highly curated publicly available data. Correlation Engine, one of the largest databases in the world for life science research, provides researchers with unprecedented access and insight to a vast number of high-quality whole genome analyses. The knowledgebase allows for novel discoveries through the interrogation of billions of datapoints derived from standard analyses of whole genome studies. A suite of applications for determining biological context, a constantly growing library of curated datasets, and support of multiple species and multi-omic data sets. Use a simple graphical interface to leverage guided workflows and APIs. Accelerate the journey from omic to decision-making and gain access to more than 25,000 multi-omics studies that have been reanalyzed (from over 250.000 signatures).

This free tool provides stunning visualizations of genomic data, giving you the power to see exactly what is happening at each base pair within your samples. GenomeBrowse is a desktop application that runs natively on your computer. You no longer have to compromise on speed or interface quality in order to achieve a consistent experience across platforms. It was designed with performance in mind, to provide a faster browsing experience than any genome browser currently available. GenomeBrowse has also been integrated into the powerful Golden Helix VarSeq annotation and interpretation platform. VarSeq is a powerful tool for filtering, analyzing, and annotating your data. If you enjoy the visualization experience provided by GenomeBrowse then try it out. GB can show all your alignment data. You can find context-relevant findings by looking at all your samples together.

Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulatory in RNA-Seq sample. It accepts aligned RNA Sequence reads and assembles them into a minimal set of transcripts. Cufflinks estimates the relative abundances for these transcripts by calculating how many reads each one receives, while taking into account biases from library preparation protocols. Cufflinks is the result of a collaboration between the Laboratory for Mathematical and Computational Biology. We provide binary packages for Cufflinks to make the installation process easier. This saves users the sometimes frustrating task of building Cufflinks which requires you to install the libraries. Cufflinks comes with a number tools for analyzing RNASeq experiments. Some of these tools are standalone, while others form part of a larger workflow.

Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps

CVXOPT, a free software package that allows convex optimization using the Python programming language, is available for download. It can be used with Python's interactive interpreter, the command line to execute Python scripts or integrated into other software via Python extension module. Its primary purpose is to simplify the development of software for convex optimization by using Python's extensive standard library as well as the strengths of Python, a high-level programming languages. Efficient Python classes that can handle dense and sparse (real and complicated) matrices. Includes Python indexing, slicing, and overloaded operations for matrix mathmetic. Interfaces to the linear programming solution in GLPK, semidefinite programming solvers DSDP5 and linear, quadratic, and second-order cone programming solutions in MOSEK.

Matplotlib is a Python library that allows you to create interactive, animated, or static visualizations. Matplotlib makes difficult things simple and easy. Many third-party packages extend and build upon Matplotlib functionality. These include several higher-level plotting interfaces such as seaborn, HoloViews and ggplot.

This package can be used in any Python project independently. It is maintained by Zope Toolkit. This package implements Python's "object interfaces". Interfaces allow objects to be labeled as conforming to a contract or API. This package can be considered an implementation of Python's Design By Contract support. Interfaces are objects that document the external behavior of objects "provided" by them. An interface describes behavior through informal documentation, such as doc strings, attribute definitions and invariants. These are conditions that must be met for objects to provide the interface. Attribute definitions specify specific attributes. They provide documentation and constraints for attribute values. There are many ways to define attributes.

python_docx is a Python library that allows you to create and update Microsoft Word (.docx), files. Word's fundamental structure is the paragraph. They are used for body text as well as headings and list items such bullets. Although you can specify width and height, it is not recommended. If you only specify one, python docx uses it for the correct scaled value of both. This ensures that your image doesn't look stretched and preserves the aspect ratio. You should learn what a Word paragraph format is. It allows you to apply multiple formatting options to a paragraph at a time. Python-docx can be used to create new documents and make changes to existing documents. It only allows you to make changes to existing documents. However, if you start with a blank document, it may feel like you are creating one from scratch.

Properties allow you to access all URL parts, such as scheme, user password, host, path, query, path, port, and password. All URL manipulations result in a new URL object. Strings passed to constructor or modification methods are automatically encoded and give canonical representations as a result. Regular properties are percent-decoded. To get encoded strings, you can use raw_ versions. As.human_repr(), URLs can be represented in a human-readable format. PyPI has binary wheels for Linux and MacOS. You can use the tarball to compile yarl from the source code if you want to install it on another operating system (such as Alpine Linux, which isn't manylinux-compliant due to the missing glibc). It requires Python headers and a C compiler. The pure-Python version (uncompiled) is slower. PyPy uses a pure Python implementation and is therefore unaffected by this variable.

PyQtGraph is a pure Python graphics and GUI library based on PyQt/PySide or NumPy. It is intended for use in mathematics/scientific/engineering applications. Although written entirely in Python, the library is extremely fast thanks to its heavy use of NumPy to perform number crunching and Qt GraphicsView framework for fast display. PyQtGraph is available under the MIT open source license. Interactive view boxes for basic 2D plotting. Line and scatter plots. Data can be scaled/panned with the mouse. Rapid drawing allows for real-time data display. Displays all data types (int, float, any bit depth, RGB, RGBA or luminance). Multidimensional images can be sliced at arbitrary angles using these functions (great for MRI data). Rapid update for video display and real-time interaction Image display with interactive level control and lookup tables. Mesh rendering with isosurface generator. Interactive viewports can be rotated/zoomed with the mouse. For easier programming, use the basic 3D scenegraph.

The h5py package provides a Pythonic interface for the HDF5 binary data format. It allows you to store large amounts of numerical data and allow you to easily manipulate that data using NumPy. You can cut into multi-terabyte datasets on disk as if they were NumPy arrays. You can store thousands of datasets in one file. You can categorize and tag them however you like. H5py makes use of simple NumPy and Python metaphors like dictionary syntax and NumPy array syntax. You can, for example, iterate over files or examine the.shape and.dtype attributes of data. To get started, you don't need any knowledge about HDF5. In addition to an easy-to-use interface, h5py relies on an object-oriented Cython wrap of the HDF5 CAP API. You can do almost anything from C in HDF5 with h5py.

gTTS (Google Text-to-Speech) is a Python library and CLI to interface with Google Translate’s text-to-speech API. For further audio manipulation or to write spoken mp3 data to files, you can use bytestring (file-like object) or stdout. You can also pre-generate Google Translate request URLs to feed an external program. A speech-specific sentence tokenizer that can be customized to allow for unlimited text lengths, while maintaining proper intonation, abbreviations and decimals. You can also make pronunciation corrections with custom-designed text pre-processors.

Seaborn is a Python data visualization tool that uses matplotlib. It provides a high-level interface to draw attractive and informative statistical graphs. The paper and introductory notes provide a brief overview of the library's ideas. To download the package and get started, visit the installation page. To see some of the seaborn-related tasks, you can look through the example gallery. Then, check out the tutorials and API reference. Visit the GitHub repository to view the code and report a bug. You can find general support questions on StackOverflow. There is also a channel for seaborn.

zdaemon, a Unix (Unix Linux, Mac OS X, Mac OS X), Python program, wraps commands to make them behave like proper daemons. zdaemon offers a script, zdaemon that can be used to execute other programs as POSIX(Unix) daemons. It is only compatible with POSIX systems. Using zdaemon means that you need to specify a number options. These options can be given as either a configuration file or as command-line options. It can also accept commands that tell it what to do. Start a process by creating a daemon. Stop a daemon process. Stop and then start a program. Check if the program is still running. Send a signal for the daemon process. The transcript log can be reopened. You can give commands on a command-line or by using an interactive interpreter. The program command can include a program name and options. However, the command-line parsing can be quite primitive.

Parsel is a BSD licensed Python library that extracts and removes data from HTML and XML. It uses XPath, CSS selectors and regular expressions. Make a selector object to parse the HTML or XML text. Next, use CSS or XPath expressions for selecting elements. CSS is a language that allows you to apply styles to HTML documents. It defines selectors that allow you to associate styles with specific HTML elements. XPath, which can be used with HTML, is a language that allows you to select nodes from XML documents. You can choose to use CSS or XPath. While CSS is more readable than XPath, some things cannot be done with XPath. Parsel selectors are built on top of lxml and support certain EXSLT extensions. They also come with pre-registered namesspaces for use in XPath statements. Parsel selectors let you chain selectors. This means that you can select by class using CSS, and then switch to XPath if necessary.

High performance computing has become a more affordable resource for researchers in the scientific community over the past years. The popularity of clusters of workstations and clusters of Beowulf classes has been strongly influenced by the combination of high quality open-source software and cheap hardware. Message-passing is one of the most effective parallel computational models. This paradigm is especially suited for distributed memory architectures. It is used in today’s most complex engineering and scientific applications related to modeling, simulation and design. Because of the incompatible options developers had to choose from, portable message-passing parallel programming used to be a nightmare. This situation has changed significantly since the MPI Forum published its standard specification.

JavaScript UI library and framework to speed up web development. JS Framework for cross platform web Apps development 102 UI widgets, feature-rich CSS / HTML5 JavaScript control. Pre-made widgets, UI controls and templates can save you at least 3000+ hours of development time. Web UI development is 30% faster. We have accumulated the most innovative design ideas. Five conceptual designs were carefully considered by us. Our support specialists are experts in all aspects of our library and can help with any problem. You can also contact our developers via the official support forum. Webix JS framework allows you to create elegant, lightweight code that is based on object-oriented programming principles. Associate your project with jQuery JavaScript library and MVC frameworks AngularJS AngularJS Vue.js Backbone.js, React, Vue.js and Backbone.js. Third-party UI extensions.

Unirest is a collection of lightweight HTTP libraries that are available in multiple languages. It was created and maintained by Kong who also maintains the open source API Gateway Kong. Install the npm module to use Unirest for node.js. Unirest makes it easier to create requests. Unirest supports gzip and can parse responses. You can also start with basic examples. To initiate a request, invoke the appropriate method on Unirest object and then call.end() to send it. You can also send the request directly by sending a callback with the URL. This provides simple and straightforward methods to manipulate the request before it is sent. This object is created when Unirest is invoked. This object has methods that can be chained like other libraries, such as jQuery or the popular request module Superagent (which is slightly modeled after this library).

Every app developer's dream is Antiqueruby Native Material Design UX Components. The app template is attractive and saves developers hours of work. It provides them with clever UI and UX components that allow them to personalize their apps. Material Design was used to create this template, which has over 140 screens for sign-ins, sign-ups and social media. It's no surprise that React Native Material Design Ui Components has become a CodeCanyon bestseller.

PostgreSQL offers unparalleled performance and endless possibilities. PostgreSQL Data Access Components is a collection of components that provide native connectivity to PostgreSQL using C++Builder and Delphi. It also includes Lazarus (and Free Pascal), for 32-bit and 64 bit platforms. PgDAC was created to allow programmers to create lightweight, faster and cleaner PostgreSQL databases applications without having to deploy additional libraries. PgDAC is an alternative to standard PostgreSQL connectivity solutions. It offers an efficient alternative to standard dbExpress drivers and the Borland Database Engine. It allows direct access to PostgreSQL with no need for the PostgreSQL client. PgDAC allows developers optimize their database applications and take advantage of the full capabilities offered by PostgreSQL.

Hope UI, as the name suggests is a revolutionary admin dashboard that was built with the developer in mind. Hope UI Laravel Admin Dashboard Template is available with a UI component set. It features a modular component structure that makes it easy to design and launch web apps in the fastest possible way. Hope UI Admin Template is capable of developing lightweight web applications and admin panels. It also includes a Live Customizer that reduces development time and coding hours. The Hope UI Bootstrap Admin Dashboard is the future of admin UI. It will power your present and future development. Hope UI is available for 8 technologies: Bootstrap and Vue JS and React JS.

Swiss-PdbViewer, also known as DeepView, is an application that allows you to analyze multiple proteins simultaneously. To compare active sites and other parts, the proteins can be superimposed. The intuitive interface and graphic make it easy to find information about amino acid mutations, Hbonds, angles and distances between atoms. Nicolas Guex has been developing Swiss-PdbViewer (aka DeepView), since 1994. Swiss-PdbViewer was originally tightly connected to SWISS-MODEL (an automated homology modeling server) that was developed at the Structural Bioinformatics Group of the Biozentrum in Basel. The SWISS-MODEL interface has evolved to the point that advanced modeling can now be done directly. It is no longer possible to maintain a direct interface with SwissPdbViewer.

These.NET spreadsheet components are completely independent and allow you to explore the possibilities of your.NET enterprise applications. .NET spreadsheet components allow professional developers to add Excel-like functionality into their desktop apps. The.NET spreadsheet control supports Excel import/export, full customization, and an extensive calculation engine with more than 450 functions. All of this is possible with zero dependencies on Excel. The powerful.NET spreadsheet API allows you to create financial, analytical, budgeting, dashboards, data collection and management, scientific and financial applications. Spread.NET's modular structure allows you to only add what you need to your.NET spreadsheet applications.

Luminoth is an open-source toolkit for computer vision. We currently support object detection, but are working towards more. Luminoth is still an alpha-quality release. This means that the interfaces between the internal and external (such as command line) will likely change as the codebase matures. . You can install TensorFlow's GPU version with pip tensorflow.gpu or the CPU version with pip tensorflow. Luminoth can also install TensorFlow if you use pip install luminoth[tf]-gpu, depending on which version of TensorFlow.

g6gTech Inc. is a software company that develops deep search products in the fields of bioinformatics (AI) and artificial intelligence (AI). To emphasize our focus on creating products, we have changed our name from G6G Consulting Group. The new G6GFINDR System, powered by semantic annotation, searches an expanding database bioinformatics software and artificial intelligence software. It uses a two-step process to allow you to refine your search. The previously developed Directory of Omics, Intelligent Software was used as a starting point. We are expanding our database of searched products at a rapid pace. All products in the database were carefully selected. To optimize results, the G6GFINDR system uses cookies to automatically gather information about your activities. g6gTech Inc. created the G6GFINDR system.