Tools to analyze financial timeseries of single assets or portfolios. It is made for daily or less frequent data.
GitHub repository with 31 stars and 4 forks.
Language: Python
Topics: data-science, finance, fintech, investment-analysis, python, timeseries, timeseries-analysis, timeseries-data
2026-06-05: 31 stars and 4 forks.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
GitHub repository with 21,312 stars and 1,126 forks.
Trending score: 2.54; stars gained: +20; forks gained: +7.
Language: Python
Topics: notebooks, python, data-science, machine-learning, artificial-intelligence, data-visualization
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,830 stars and 4,264 forks.
Trending score: 2.52; stars gained: +25; forks gained: +4.
Language: Python
Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,777 stars and 7,639 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
Summer 2026 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
GitHub repository with 44,804 stars and 3,182 forks.
Trending score: 2.09; stars gained: +17; forks gained: +1.
Language: Python
Topics: data-science, fall-2026, github, internship, internships, interview-preparation
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
GitHub repository with 9,921 stars and 734 forks.
Trending score: 1.41; stars gained: +29; forks gained: +3.
Language: Python
Topics: data-science, epub, extract-data, font, mupdf, ocr
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
GitHub repository with 42,814 stars and 3,475 forks.
Trending score: 1.28; stars gained: +21; forks gained: +4.
Language: Python
Topics: data-analysis, data-science, data-visualization, deep-learning, deploy, gradio
The agent that grows with you
GitHub repository with 181,762 stars and 31,185 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,361 stars and 853 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,484 stars and 2,256 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,250 stars and 534 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,371 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Apache Superset is a Data Visualization and Data Exploration Platform
GitHub repository with 73,179 stars and 17,521 forks.
Trending score: 2.73; stars gained: +24; forks gained: +19.
Language: TypeScript
Topics: superset, apache, apache-superset, data-visualization, data-viz, analytics
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
GitHub repository with 21,312 stars and 1,126 forks.
Trending score: 2.54; stars gained: +20; forks gained: +7.
Language: Python
Topics: notebooks, python, data-science, machine-learning, artificial-intelligence, data-visualization
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,830 stars and 4,264 forks.
Trending score: 2.52; stars gained: +25; forks gained: +4.
Language: Python
Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,777 stars and 7,639 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
Summer 2026 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
GitHub repository with 44,804 stars and 3,182 forks.
Trending score: 2.09; stars gained: +17; forks gained: +1.
Language: Python
Topics: data-science, fall-2026, github, internship, internships, interview-preparation
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
GitHub repository with 6,582 stars and 695 forks.
Trending score: 1.70; stars gained: +5; forks gained: +3.
Language: Rust
Topics: apache-arrow, computer-vision, data-analysis, data-analytics, data-centric, data-format