Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Upload your messages.json, choose languages, and download a ready-to-ship _locales ZIP. Placeholder-safe, format-compliant AI translations. Pay once.
Local-first CLI coding agent built with React and Ink.
The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
A macOS app for browsing Claude Code sessions, exploring diffs, and re-running commands. Reads local transcripts, runs offline, open source.
A high-speed inference engine for deploying LLMs locally.
An open-source tool for recording screen and audio activity with AI-powered search, automations, and support for local LLMs. opensource.
Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally.
The most capable data visualization library on the web. 60+ chart types, maps, financial charts, Gantt. Trusted by 20,000+ companies worldwide.
Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce.
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Mapa do crime no Brasil com dados oficiais de polícia, DataSUS e CNJ. Busque sua cidade ou bairro e veja estatísticas por 100 mil habitantes.
A jQuery plugin for geographical map data visualizations using d3.js, SVG.
Rendering beautiful SVG maps in Python.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Creates, rewrites or summarizes written content with language models.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Self Organizing Map written in Python (Uses neural networks for data analysis).
Streaming MapReduce with Scalding and Storm.