Jesse
@jesse-ai • Open source projects from jesse-ai. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
96%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
24 repos
Visible snapshot
3 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (9), Unknown (8), Shell (2)
Average size
386
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-05-31(131d ago)GitHub API fallback24 repositories
96%
of the visible star count comes from this organization's top three repositories.
386
stars per repository in this same snapshot.
Python
is the most common language here, with 3 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 93% of its visible star count.
Flagship share 93%Breakout repo: jesse
Organization pages work best when you separate portfolio breadth from flagship concentration. In Jesse's case, the visible top three repositories account for about 96% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (9), Unknown (8), Shell (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | jesse-ai/jesse An advanced crypto trading bot written in Python | Python | 8.6K |
| 2 | jesse-ai/example-strategies Example trading strategies to get you started with Jesse | Python | 177 |
| 3 | jesse-ai/gpt-instructions Contains the instructions used as input to JesseGPT | 92 | |
| 4 | jesse-ai/awesome-jesse A curated list of awesome Jesse strategies and tools. | 85 | |
| 5 | jesse-ai/project-template Boilerplate that every new Jesse project requires | Python | 60 |
| 6 | jesse-ai/pairs-trading-strategy | Jupyter Notebook | 51 |
| 7 | jesse-ai/tulipy [NOT ACTIVELY MAINTAINED] Tulipy - Financial Technical Analysis Indicator Library (Python bindings for Tulip Charts) | Python | 23 |
| 8 | jesse-ai/docs The code used for the documentation website. | 20 | |
| 9 | jesse-ai/jesse-stack-docker | 17 | |
| 10 | jesse-ai/stack-installer A bash script used to install the requied stack for running Jesse. | Shell | 16 |
| 11 | jesse-ai/indicators Technical analysis library written in TypeScript. | TypeScript | 14 |
| 12 | jesse-ai/dashboard This is the source code for the front end of Jesse's GUI dashboard | Vue | 13 |
| 13 | jesse-ai/coin-screener-script Repository for hosting the coin screener script | Python | 12 |
| 14 | jesse-ai/crypto-empyrical Common financial risk and performance metrics. Used by zipline and pyfolio. | Python | 11 |
| 15 | jesse-ai/jesse-rust | Rust | 8 |
| 16 | jesse-ai/llm-strategy-instructions The instruction prompt for LLMs for writing Jesse strategies | 8 | |
| 17 | jesse-ai/candle-importer-script | Python | 7 |
| 18 | jesse-ai/ftx-driver | Python | 5 |
| 19 | jesse-ai/windows | 4 | |
| 20 | jesse-ai/storage A repository used to host static files related in any way to Jesse | 2 | |
| 21 | jesse-ai/dydx-v3-python Python client for dYdX - updated to work with python 3.11 | Python | 1 |
| 22 | jesse-ai/jesse-cli Jesse's CLI tool for easier development. | TypeScript | 1 |
| 23 | jesse-ai/python-language-server A fast, lightweight bridge between Monaco Editor (or any LSP client) and Pyright, enabling full Python language intelligence — autocompletion, hover docs, diagnostics, and more — directly in the browser or desktop apps. | Shell | 0 |
| 24 | jesse-ai/simplejson simplejson is a simple, fast, extensible JSON encoder/decoder for Python | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.