QuantConnect

QuantConnect

@quantconnectPython and C# algorithmic trading platform

Updated: 2026-03-30(13d ago)GitHub API fallback30 repositories

Portfolio Shape

82%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

17

stars per repository in this same snapshot.

Current Mix

C#

is the most common language here, with 15 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 64% of its visible star count.

Flagship share 64%Breakout repo: HandsOnAITradingBook

Organization pages work best when you separate portfolio breadth from flagship concentration. In QuantConnect's case, the visible top three repositories account for about 82% 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 C# (23), Python (3), Jupyter Notebook (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.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguage⭐ Stars
1quantconnect/HandsOnAITradingBook

Code repository for the book "Hands On AI Trading with Python, QuantConnect, and AWS."

Jupyter Notebook323
2quantconnect/mcp-server

Official Python MCP server for local interactions with the QuantConnect API

Python68
3quantconnect/Lean.DataSource.ThetaData

Integration with ThetaData for Options History and Live Streaming

C#21
4quantconnect/Lean.Brokerages.TradeStation

TradeStation Brokerage Plugin

C#17
5quantconnect/Lean.Brokerages.Alpaca

Alpaca Brokerage Implementation

C#13
6quantconnect/Lean.Brokerages.Tastytrade

Tastytrade Brokerage Implementation

C#9
7quantconnect/Lean.DataSource.AlphaVantage

LEAN Alpha Vantage Data Source

C#9
8quantconnect/Lean.DataSource.Polygon

LEAN Polygon Data Source

C#8
9quantconnect/Lean.DataSource.FactSet

Implementation to the public FactSet Data API.

C#4
10quantconnect/Lean.DataSource.DataBento

Historical downloads and live data streaming

C#4
11quantconnect/Lean.DataSource.BybitFundingRate

ByBit Margin Perp Funding Rates

C#4
12quantconnect/Lean.Brokerages.dYdX

dYdX Brokerage Plugin

C#3
13quantconnect/Lean.DataSource.HuggingFace

HuggingFace caching for the QuantConnect Community

Python3
14quantconnect/Lean.DataSource.IQFeed

LEAN IQFeed Data Source

C#3
15quantconnect/Lean.DataSource.InteractiveBrokersShortStock

LEAN Interactive Brokers Short Stock Availability Data Source

C#3
16quantconnect/Lean.DataSource.dYdXFundingRate

dYdX Perp Futures Funding Rates

C#2
17quantconnect/Lean.DataSource.DerivativeUniverseGeneratorC#2
18quantconnect/Lean.DataSource.CoinAPI

LEAN CoinAPI Data Source

C#2
19quantconnect/Lean.DataSource.USDAFruitAndVegetables

Historical fruit and vegetable pricing

C#1
20quantconnect/Lean.DataSource.SEC.FailsToDeliver

FTD

C#1
21quantconnect/alpaca-trade-api-csharp

C# SDK for Alpaca Trade API https://docs.alpaca.markets/

1
22quantconnect/PredictNowNET

A restful client library, designed to access PredictNow restful API.

Jupyter Notebook1
23quantconnect/Lean.DataSource.QuiverQuant

Quiver Quantitative Alternative Data

C#0
24quantconnect/docs-style-guide

Rackspace Style Guide for Technical Content

0
25quantconnect/Lean.DataSource.EODHD

International micro-economic indicators

C#0
26quantconnect/Lean.DataSource.QuiverGovernmentContracts

LEAN Quiver Government Contracts Data Source

C#0
27quantconnect/Lean.DataSource.QuiverLobbying

LEAN Quiver Lobbying Data Source

C#0
28quantconnect/Lean.DataSource.QuiverCNBC

LEAN Quiver CNBC Data Source

C#0
29quantconnect/Lean.DataSource.IEX

LEAN IEX Data Source

C#0
30quantconnect/Lean.DataSource.USInterestRate

US Interest Rate Data Source

Python0

How to Read This 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.