awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
Bortlesboat avatar

Bortlesboat/chainpulse

0
View on GitHub↗
0 stars·0 forks·Python·MIT·6 viewspypi.org/project/chainpulse↗

Chainpulse

AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis.

Features

  • Quantitative Research Tools - CLI for natural language queries on Bitcoin network data.

Star history

Star history chart for bortlesboat/chainpulseStar history chart for bortlesboat/chainpulse

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.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Projects sharing features with Chainpulse

These projects share indexed features with Chainpulse. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • jindaxiang/aksharejindaxiang avatar

    jindaxiang/akshare

    20,435View on GitHub↗

    AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical stock, currency, and economic market data. It serves as a quantitative data acquisition tool for gathering the large-scale financial datasets required for economic research and quantitative analysis. The library provides a unified interface to retrieve datasets from various official and commercial providers, removing the need to write custom scrapers for individual financial sources. It maps standardized function calls to diverse third-party sources to normalize varying respons

    Python
    View on GitHub↗20,435
  • onestardao/wfgyonestardao avatar

    onestardao/WFGY

    1,489View on GitHub↗
    Jupyter Notebookai-interpretabilityalignmentembedding
    View on GitHub↗1,489
  • quantopian/alphalensquantopian avatar

    quantopian/alphalens

    4,143View on GitHub↗

    Alphalens is a quantitative alpha factor analysis library designed to measure the predictive power of financial factors. It serves as a computational toolset for processing financial time series and calculating performance metrics to evaluate quantitative trading hypotheses. The library distinguishes itself through the use of quantile-based data binning to analyze return distributions across different factor strength levels. It aligns historical alpha signals with forward-looking price changes to isolate predictive effects and transforms these metrics into heatmaps and time-series charts for

    Jupyter Notebookalgorithmic-tradingfinancejupyter
    View on GitHub↗4,143
  • brotto/crngbrotto avatar

    brotto/crng

    6View on GitHub↗

    Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence

    Pythonfat-tailsfinancekurtosis
    View on GitHub↗6
Compare all 9 related projects→

Frequently asked questions

What does bortlesboat/chainpulse do?

AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis.

What are the main features of bortlesboat/chainpulse?

The main features of bortlesboat/chainpulse are: Quantitative Research Tools.

Which projects share features with bortlesboat/chainpulse?

Projects with overlapping indexed features include: jindaxiang/akshare — AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical… onestardao/wfgy. quantopian/alphalens — Alphalens is a quantitative alpha factor analysis library designed to measure the predictive power of financial… quantopian/empyrical — Common financial risk and performance metrics. Used by zipline and pyfolio. quantopian/pyfolio — Portfolio and risk analytics in Python. quantos-org/jaqs — Introduction |pypi peoject version| |pypi pyversion| |pypi license| |travis ci| |covergae|.