quantconnect-stubs
Type stubs for QuantConnect's Lean
Decision gist · record as of 2026-08-14
Yes, if you develop trading strategies on QuantConnect. The stubs are actively maintained with no known vulnerabilities, and install friction is low. Runtime dependencies (pandas, matplotlib) are standard libraries you likely already have.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with active maintenance.
- Last commit on 2026-05-12 and latest release on 2026-08-14 indicate ongoing development.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), allowing free use, modification, and distribution with minimal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-05-12 · 20 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 161,019 downloads/mo, #10,647 on PyPI
Alternatives
Verify before relying
pip install quantconnect-stubs
import quantconnect_stubs- Whether stubs cover the full Lean API surface or only common members as documented
- Compatibility with specific versions of QuantConnect's cloud environment
- Whether type stubs work with all major Python IDEs and type checkers
What it is and what it does
This package provides type stubs for QuantConnect's Lean algorithmic trading engine and related .NET library components. Type stubs are metadata files that tell Python IDEs and type checkers what types and signatures exist in a library, without including the actual implementation. They enable autocomplete, parameter hints, and type checking in your editor when writing trading strategies.
The package is designed for developers writing Python strategies on the QuantConnect platform. It depends on pandas and matplotlib as runtime dependencies. The stubs are actively maintained and have no known vulnerabilities, making them a stable choice for local development workflows.
Use it for
- Enable IDE autocomplete when writing QuantConnect trading strategies locally before uploading to the cloud
- Catch type errors and API misuse in Python trading algorithms before runtime execution
- Provide parameter hints and documentation popups for Lean API methods in your editor
- Support local development with type checking consistency across different environments
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you develop trading strategies on QuantConnect.
The stubs are actively maintained with no known vulnerabilities, and install friction is low. Runtime dependencies (pandas, matplotlib) are standard libraries you likely already have.
Install
quantconnect-stubs on PyPI
Before you install
Low friction install with active maintenance. Last commit on 2026-05-12 and latest release on 2026-08-14 indicate ongoing development.
License in practice
Licensed under Apache Software License (permissive), allowing free use, modification, and distribution with minimal restrictions.
Quickstart
pip install quantconnect-stubs
import quantconnect_stubs
Verify before relying
- Whether stubs cover the full Lean API surface or only common members as documented
- Compatibility with specific versions of QuantConnect's cloud environment
- Whether type stubs work with all major Python IDEs and type checkers
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespandasmatplotlib |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 161,019 / month, #10,647 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Financial and Insurance IndustryLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3 |
Evidence: quantconnect_stubs-18003-py3-none-any.whl
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See also google-api-python-client-stubs · ob-metaflow-stubs · backtesting · nautilus_trader · gs-quant · backtrader · lumibot · googleapis-common-protos-stubs · quantstats · asyncpg-stubs