Topics / #financial-analysis

Financial-analysis projects on GitHub

Mostly time series databases, with some investing analysis content.

As of , the most-starred Financial-analysis projects on GitHub are TDengine (25.2K stars), timescaledb (23.7K stars) and FinGPT (21.4K stars). GitHub.Locker tracks 6 Financial-analysis repositories with 101.7K stars combined. The fastest-growing on October 16 was Financial_freedom, with +110 stars in a day.

6Projects
101.7KStars in total
+149Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

6 projects · by stars

  1. #1 · taosdata/TDengine

    TDengine

    TDengine is an open-source, high-performance, cloud-native, AI-powered time-series database built for IoT, Connected Cars, and Industrial IoT workloads, handling TB-to-PB scale data from billions of sensors.

    25.2K
  2. #2 · timescale/timescaledb

    timescaledb

    TimescaleDB is a PostgreSQL extension for high-performance real-time analytics on time-series and event data — sensor readings, financial ticks, application events. You work with it in regular SQL.

    23.7K
  3. #3 · AI4Finance-Foundation/FinGPT

    FinGPT

    FinGPT is AI4Finance Foundation's open-source project for financial large language models: trained models are released on HuggingFace, with code for RAG, fine-tuning pipelines and benchmarks built around them.

    21.4K
  1. 4

    ai-berkshire

    16.8Kxbtlin/ai-berkshire · HTML

    AI Berkshire is a skill collection for Claude Code and Codex that turns an AI agent into a value-investing research team, structuring Warren Buffett, Charlie Munger, Duan Yongping and Li Lu's methodologies into deep company research, earnings analysis, industry screening and portfolio-management skills.

  2. 5

    Financial_freedom

    7.4Kcodeman008/Financial_freedom

    This is a curated Markdown guide that lists top investing and personal-finance books plus top-rated financial documentaries, organized from beginner to advanced, to help readers build long-term financial literacy.

  3. 6

    UZI-Skill

    7.3Kwbh604/UZI-Skill · Python

    A free skill that turns your AI coding agent into a personal stock analyst: give it a ticker and it pulls 22 dimensions of data, runs 22 institutional methods (DCF, comps, LBO), lets 66 investor personas vote, and outputs a ~600KB Bloomberg-style HTML report in 5-8 minutes. Covers A-shares, Hong Kong and US stocks.

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