Alternatives

Products that do what Backtrader Cloud does

Hosted Python backtesting workspace

1. 1
   Reflex Cloud▲631

   Build web apps in pure Python + deploy with a single command

   2024 · reflex.dev

2. 2
   Proxy Tester by ScrapeOps▲208

   Benchmark proxies for reliable, target-specific scraping

   28d ago · scrapeops.io

3. 3HF
   High-frequency trading and market-making backtesting tool with examples▲148

   2024 · github.com

4. 4PA
   PyCloud, a Python IDE in the web browser with interactive tutorials▲130

   2011 · jitouch.com

5. 5
   Movestax▲277

   The serverless cloud platform for modern builders

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6. 6
   Cloudback for Linear▲177

   Automated backup and restore for Linear workspaces

   Jun 2026 · cloudback.it

7. 7
   FloydHub Workspaces▲80

   The easiest cloud IDE for deep learning

   2018

8. 8RS
   Rocketry – Statement-based scheduling framework for Python▲168

   2022 · github.com

9. 9
   BacktestLoop▲12

   Turn trading ideas into real Python backtests

   Jul 2026 · backtestloop.com

10. 10RA
    Refurb – A tool for refurbishing and modernizing Python codebases▲123

    2022 · github.com

11. 11
    Backlog Grooming by Standuply▲137

    Asynchronous backlog grooming via Slack task-based surveys

    2019

12. 12PA
    PyDoll – Async Python scraping engine with native CAPTCHA bypass▲136

    2025 · github.com

13. 13
    QuantJourney Backtester▲4

    Open-source Python engine for defensible portfolio research

    Jul 2026 · backtester.quantjourney.cloud

14. 14PA
    PyBroker – Algotrading in Python with Machine Learning▲70

    Hello, I am excited to share PyBroker with you, a free and open-source Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance. Some of the key features of PyBroker include: - A super-fast backtesting engine built using NumPy and accelerated with Numba. - The ability to create and execute trading rules and models across multiple instruments with ease. - Access to…

    2023 · github.com

15. 15
    Direktor▲119

    A/B testing as easy as short URLs

    2019

16. 16PV
    Python virtual environment, but backed by Docker▲78

    2019 · github.com

17. 17
    BotFleet▲99

    Deploy Python bots in the cloud with data storage support

    2024

18. 18MA
    Meadowrun automates the tedious details of running Python on AWS/Azure▲56

    2022 · meadowrun.io

19. 19DP
    Durable Python Workflows▲64

    2025 · github.com

20. 20PD
    Precloud – Dynamic tests for infrastructure-as-code▲48

    Infrastructure as code (IaC) often fails during deployment due to dynamic constraints such as name collisions, quota limits and other resource-specific constraints that devs run halfway into an IaC deployment. We witnessed this first hand at TinyStacks and built precloud - an open-source framework to define and run dynamic tests before IaC deployments. The precloud framework currently supports Terraform and AWS CDK with several default checks (unique names, service quota checks and more) and ability to define your own!

    2023 · github.com

21. 21
    RLX Backtester▲6

    Fast Rust backtesting engine for quantitative traders

    Jul 2026 · rlxbt.com

22. 22
    Freqtrade Cloud▲1

    Managed Freqtrade Workflow for Backtesting

    May 2026 · freqtrade.store

23. 23
    BackStract (Alpha)▲34

    Scalable low-code backend as a service, with 0 lock-in.

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24. 24
    Manifold-BT▲1

    Fast backtesting for Python traders, powered by Rust

    8d ago · manifoldbt.com

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