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nathanepstein avatar

nathanepstein/datakit

0
View on GitHub↗
287 stars·11 forks·JavaScript·10 views

Datakit

A lightweight framework for data analysis in JavaScript.

Features

  • Data Processing and Analysis - Lightweight framework for data analysis in JavaScript.
  • Statistics and Math - Framework for data analysis tasks.

Star history

Star history chart for nathanepstein/datakitStar history chart for nathanepstein/datakit

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Datakit

These projects share indexed features with Datakit. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • simple-statistics/simple-statisticssimple-statistics avatar

    simple-statistics/simple-statistics

    3,504View on GitHub↗

    simple statistics for node & browser javascript

    JavaScript
    View on GitHub↗3,504
  • jasondavies/science.jsjasondavies avatar

    jasondavies/science.js

    896View on GitHub↗

    Scientific and statistical computing in JavaScript.

    JavaScript
    View on GitHub↗896
  • microsoft/c9-python-getting-startedmicrosoft avatar

    microsoft/c9-python-getting-started

    8,012View on GitHub↗

    This project is a Python education repository and programming tutorial designed to teach language fundamentals, from basic syntax and variables to advanced concepts. It serves as a data science starter kit and a guide for REST API integration. The repository provides instructional scripts and sample code covering object-oriented programming patterns and asynchronous programming. It includes practical demonstrations for fetching and processing JSON data from external web services using HTTP requests. The materials cover a broad capability surface including data analysis workflows with interac

    Jupyter Notebook
    View on GitHub↗8,012
  • e2b-dev/code-interpretere2b-dev avatar

    e2b-dev/code-interpreter

    2,348View on GitHub↗

    This project is an infrastructure platform designed to provide secure, isolated, and ephemeral cloud-based Linux environments for AI agents and automated code execution. It functions as an orchestrator that provisions on-demand virtual machines, allowing developers to run arbitrary code generated by large language models within hardware-level security boundaries. The platform distinguishes itself through its ability to manage stateful, long-lived sessions that persist across multiple execution calls, enabling complex, multi-step workflows. It supports high-concurrency scaling, allowing for th

    Pythonaiai-data-analysisanthropic
    View on GitHub↗2,348
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Frequently asked questions

What does nathanepstein/datakit do?

A lightweight framework for data analysis in JavaScript.

What are the main features of nathanepstein/datakit?

The main features of nathanepstein/datakit are: Data Processing and Analysis, Statistics and Math.

Which projects share features with nathanepstein/datakit?

Projects with overlapping indexed features include: jasondavies/science.js — Scientific and statistical computing in JavaScript. simple-statistics/simple-statistics — simple statistics for node & browser javascript. microsoft/c9-python-getting-started — This project is a Python education repository and programming tutorial designed to teach language fundamentals, from… e2b-dev/code-interpreter — This project is an infrastructure platform designed to provide secure, isolated, and ephemeral cloud-based Linux… arguiot/theoremjs — A Math framework for computation in JavaScript. alteryx/featuretools — Featuretools is an automated feature engineering library and data transformation framework written in Python. It…