Data

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Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.
https://github.com/academic/awesome-datascience

Last synced: 9 days ago
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Agents

Frameworks

  • ADK-Rust - Production-ready AI agent development kit for Rust with model-agnostic design (Gemini, OpenAI, Anthropic), multiple agent types (LLM, Graph, Workflow), MCP support, and built-in telemetry.
  • Lumen - Agent framework for chatting with data, turning natural language into SQL, transformation pipelines and visualizations. Outputs are declarative specs that can be inspected, edited, reopened in a notebook or composed into a dashboard.

Research & Knowledge Retrieval

  • Chunk Tuner - Open-source Python library and MCP server to benchmark document chunking strategies for RAG, score retrieval quality, and recommend configurations for a corpus.
  • II-Commons - Daily-updated skill and CLI for deterministic retrieval across arXiv, PubMed/PMC, and supported US policy corpora.
  • Suppr - AI literature search, document translation, and deep-research workspace for researchers.
  • Spraay x402 Gateway - x402 payment gateway with 23 Research & Reference endpoints for AI agents: Wikipedia, arXiv, PubMed, Wikidata, academic citation lookup, entity extraction, and more. Pay-per-call in USDC on Base & Solana — no API keys or subscriptions. Also serves 150+ endpoints across 39 categories including geospatial, AI inference, DeFi, and compute. GitHub

Tools

  • DeepAlpha - AI crypto trading framework using LightGBM + XGBoost ensemble with 72 ML features. 70.9% walk-forward validated accuracy on out-of-sample data. Supports Bybit and Binance. MIT licensed, available on PyPI.
  • CAJAL - Local AI agent for generating publication-ready scientific papers with real arXiv citations, IMRaD structure, and tribunal scoring. Runs 100% offline via Ollama with 4B-9B models. MIT licensed. HuggingFace
  • ai-evaluation - Open-source LLM and agent evaluation framework with 50+ metrics, LLM-as-Judge augmentation, and guardrail scanners (jailbreak, PII, prompt-injection). Useful for scoring RAG outputs, agent trajectories, and function-calling behavior in data-science workflows.
  • Kitaru - Open-source platform that records real AI agent runs, replays them against changes, and evaluates outcomes before deployment.

Workflow

Fun

Comics

Datasets

Infographics

Literature and Media

Bloggers