# garethdmm/gryphon

Powerful, proven, and extensible framework for building trading strategies at any frequency, with a focus on crypto currencies. Battle-tested with billions traded.

Repository: https://github.com/garethdmm/gryphon
Canonical: https://ross.abutalabs.com/products/gryphon
Homepage: http://www.gryphonframework.org
Language: Python
License: NOASSERTION
License Family: other
Last push: 2022-12-08T02:31:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2711, "days_push": 1365, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1060, forks 144 (observed 2026-08-28T04:03:25.738366+00:00)

## What it is
Gryphon is an open-source Python framework and application suite for building and running algorithmic trading strategies in cryptocurrency markets, originally developed by the trading firm Tinker. It provides a unified exchange abstraction across 20+ trading pairs, strategy building blocks, a strategy execution engine, a high-frequency market data service, and web dashboards.

## Use cases
- build algorithmic crypto trading strategies
- run market-making bots across multiple exchanges
- arbitrage detection between cryptocurrency exchanges
- ingest high-frequency market data for backtesting or ML
- monitor and visualize trading business performance
- execute strategies with redundant exchange connections and trade persistence

## When to choose
- you need battle-tested crypto trading infrastructure with proven exchange integrations
- you want to write strategies against a single unified exchange interface
- you need both a strategy library and operational tooling (dashboards, data service)
- you trade at any frequency and want built-in monitoring and instrumentation

## When to avoid
- you trade traditional equities or forex rather than crypto
- you need a lightweight backtesting-only library without live execution
- you require active community maintenance - the latest release dates to late 2022
- you need a GUI-first trading platform rather than a code-centric framework

## Facets
- artifact type: framework
- maturity: maintenance
- function: sdk, workflow-automation, monitoring, analytics, streaming
- domain: fintech
- platform: python, self-hosted
- tags: algorithmic-trading, cryptocurrency, market-making, exchange-integrations, trading-strategies, market-data, automation, data-engineering, docker

## Member repositories
- garethdmm/gryphon (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:25.738366+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:56:56.327052+00:00, confidence not recorded.
  - readme: https://github.com/garethdmm/gryphon (fetched 2026-08-28T04:03:25.738366+00:00, sha 902d1e651096)
  - homepage: http://www.gryphonframework.org (fetched 2026-08-29T12:59:00.921695+00:00, sha 933cd1c4b1ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.