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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Jspreadsheet provides a robust JavaScript data grid that integrates the functionality of spreadsheet applications such as Google Sheets and Excel into your web application. It has a smooth and efficient user interface that allows batch actions, table manipulation and many other features to ensure seamless compatibility between your web app and Excel/Sheets. This familiar environment increases productivity, simplifies adoption by users, and reduces the need for extensive user training. Jspreadsheet provides a comprehensive solution for spreadsheet and data management on web platforms. It optimizes workflow, streamlines automation and facilitates the smooth transfer of tasks from Excel onto the web. Jspreadsheet is a versatile option because it offers a variety of extensions that address a range of needs within the data grid ecosystem and spreadsheet ecosystem.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

3LC No 
Amazon SageMaker Data Wrangler No 
ChatGPT Yes 
Coiled No 
Daft No 
DagsHub No 
Dagster No 
Dash No 
Flower No 
Flyte No 
JavaScript Yes 
Llama 3 Yes 
Llama 3.3 Yes 
MLJAR Studio No 
Netdata No 
React Yes 
Sliq No 
Spyder No 
TeamStation No 
Train in Data No 

Integrations

3LC Yes 
Amazon SageMaker Data Wrangler Yes 
ChatGPT No 
Coiled Yes 
Daft Yes 
DagsHub Yes 
Dagster Yes 
Dash Yes 
Flower Yes 
Flyte Yes 
JavaScript No 
Llama 3 No 
Llama 3.3 No 
MLJAR Studio Yes 
Netdata Yes 
React No 
Sliq Yes 
Spyder Yes 
TeamStation Yes 
Train in Data Yes 

Pricing Details

$49 per developer
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
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) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Jspreadsheet

Founded

2019

Country

United Kingdom

Website

jspreadsheet.com

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Product Features

Spreadsheet

Analytics No 
Audit Trail No 
Calculators No 
Charting No 
Multi-User Collaboration No 
Templates No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

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