GitStar
QuantConnectOrganization

QuantConnect

@quantconnect • Python and C# algorithmic trading platform. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

81%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

13 repositories updated in the last 90 days.

Leading language

C#

Portfolio mix

C# (23), Python (3), Jupyter Notebook (2)

Average size

18

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Updated: 2026-05-15(12d ago)GitHub API fallback30 repositories

Portfolio Shape

81%

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

Average Repository Size

18

stars per repository in this same snapshot.

Current Mix

C#

is the most common language here, with 13 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 63% of its visible star count.

Flagship share 63%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 81% 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 Notebook337
2quantconnect/mcp-server

Official Python MCP server for local interactions with the QuantConnect API

Python75
3quantconnect/Lean.DataSource.ThetaData

Integration with ThetaData for Options History and Live Streaming

C#23
4quantconnect/Lean.Brokerages.TradeStation

TradeStation Brokerage Plugin

C#19
5quantconnect/Lean.Brokerages.Alpaca

Alpaca Brokerage Implementation

C#15
6quantconnect/Lean.Brokerages.Tastytrade

Tastytrade Brokerage Implementation

C#10
7quantconnect/Lean.DataSource.AlphaVantage

LEAN Alpha Vantage Data Source

C#10
8quantconnect/Lean.DataSource.Polygon

LEAN Polygon Data Source

C#9
9quantconnect/Lean.DataSource.DataBento

Historical downloads and live data streaming

C#6
10quantconnect/Lean.DataSource.FactSet

Implementation to the public FactSet Data API.

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.CoinAPI

LEAN CoinAPI Data Source

C#3
15quantconnect/Lean.DataSource.IQFeed

LEAN IQFeed Data Source

C#3
16quantconnect/Lean.DataSource.InteractiveBrokersShortStock

LEAN Interactive Brokers Short Stock Availability Data Source

C#3
17quantconnect/Lean.DataSource.dYdXFundingRate

dYdX Perp Futures Funding Rates

C#2
18quantconnect/Lean.DataSource.DerivativeUniverseGeneratorC#2
19quantconnect/Lean.DataSource.USDAFruitAndVegetables

Historical fruit and vegetable pricing

C#1
20quantconnect/alpaca-trade-api-csharp

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

1
21quantconnect/PredictNowNET

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

Jupyter Notebook1
22quantconnect/Lean.DataSource.QuiverQuant

Quiver Quantitative Alternative Data

C#0
23quantconnect/Lean.DataSource.SEC.FailsToDeliver

FTD

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

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.