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ease
features
design
support

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Description

Algolytics specializes in delivering software tools and consulting expertise focused on predictive analytics, risk management, data quality, social network analysis, and the intricate analysis of extensive datasets. Discover a versatile tool designed for data processing, analysis, and modeling! With an intuitive workflow interface, you can delve into your data and much more. The platform facilitates data extraction and storage across various database systems, files, and enables seamless data transformations. You can conduct numerous operations on your data, including sampling, merging datasets, and partitioning. AdvancedMiner presents endless capabilities for experienced users, which can be effortlessly developed or modified within the application. Additionally, it provides comprehensive support for SQL, including a variety of analytical functions, enhancing your data manipulation capabilities further. Overall, Algolytics empowers users to harness the full potential of their data efficiently.

Description

Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Avanzai
Cleanlab
Codédex
Coiled
DagsHub
Dagster
Dash
Flower
Hadoop
Kedro
MLJAR Studio
Netdata
RunCode
Sliq
Spyder
TeamStation
Union Pandera
Yandex Data Proc
skills.ai

Integrations

Avanzai
Cleanlab
Codédex
Coiled
DagsHub
Dagster
Dash
Flower
Hadoop
Kedro
MLJAR Studio
Netdata
RunCode
Sliq
Spyder
TeamStation
Union Pandera
Yandex Data Proc
skills.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Algolytics Technologies

Founded

2018

Country

Poland

Website

algolytics.com/products/advancedminer/

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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