Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Tablecruncher serves as a robust yet streamlined CSV editor for Mac users, adept at managing substantial datasets with ease. It is capable of opening files exceeding 2GB and containing over 15 million rows, efficiently loading a 100MB CSV file in less than 5 seconds on a dual-core MacBook Pro. The application accommodates a variety of encodings such as UTF-8, UTF-16LE, UTF-16BE, Latin-1 (ISO-8859-1), and Windows 1252, with the ability to auto-detect most CSV formats and their associated encodings. Users can leverage JavaScript as a macro language for file manipulation, giving them access to all cells for content alterations and calculations. Additionally, Tablecruncher provides the functionality to export table data to JSON, generating an array of objects when a header row exists or an array of arrays when it does not. Its find and replace feature enables users to conduct pattern searches within the table or specific selected regions, utilizing Regular Expressions that comply with the ECMAScript 5 standard. Furthermore, the software includes four distinct color themes, with one being a dark mode option, to enhance the overall user interface experience while working with large datasets. This combination of features makes Tablecruncher an indispensable tool for anyone dealing with extensive CSV files.
Description
The h5py library serves as a user-friendly interface for the HDF5 binary data format in Python. It allows users to handle vast quantities of numerical data and efficiently work with it alongside NumPy. For instance, you can access and manipulate multi-terabyte datasets stored on your disk as if they were standard NumPy arrays. You can organize thousands of datasets within a single file, applying your own categorization and tagging methods. H5py embraces familiar NumPy and Python concepts, such as dictionary and array syntax. For example, it enables you to loop through datasets in a file or examine the .shape and .dtype properties of those datasets. Getting started with h5py requires no prior knowledge of HDF5, making it accessible for newcomers. Besides its intuitive high-level interface, h5py is built on an object-oriented Cython wrapper for the HDF5 C API, ensuring that nearly any operation possible in C with HDF5 can also be performed using h5py. This combination of simplicity and power makes it a popular choice for data handling in the scientific community.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
BrainWave 6
No
C++
Yes
Google Sheets
Yes
JSON
Yes
JavaScript
Yes
Microsoft Excel
Yes
NumPy
No
Python
No
Visual Studio
No
Xcode
No
Integrations
BrainWave 6
Yes
C++
No
Google Sheets
No
JSON
No
JavaScript
No
Microsoft Excel
No
NumPy
Yes
Python
Yes
Visual Studio
Yes
Xcode
Yes
Pricing Details
$32.18 one-time payment
Free Trial
Yes
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Tablecruncher
Founded
2017
Country
Germany
Website
tablecruncher.com
Vendor Details
Company Name
HDF5
Website
www.h5py.org