Learn how Hummingbot and OctoBot differ in their key features, development activity, technology stack and community adoption, so you can decide which of these trading bots is best for you.
Last 30 days
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Repository age
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

OctoBot appears to have several advantages over Hummingbot, particularly in growth, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Hummingbot significantly outpaces OctoBot in community adoption with 19,920 stars compared to 6,543 stars on GitHub. This 3.0x difference suggests Hummingbot has a much larger and more active community. In terms of developer contributions, Hummingbot has 4,912 forks, indicating strong developer engagement.
OctoBot is growing faster, adding 215 stars in the last 30 days (+3.4%) against adding 537 stars for Hummingbot (+2.8%). OctoBot is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Hummingbot last updated 2 days ago and OctoBot 16 hours ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Hummingbot uses C, Objective-C, C++, Ruby.
OctoBot has been in development longer, starting 9 years ago, compared to Hummingbot which began 7 years ago. This 1.1-year head start suggests OctoBot may have more mature features and established processes.
The projects use different licenses: Hummingbot is licensed under Apache-2.0 while OctoBot uses GPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Trading Bots. However, they also have distinct specializations: Hummingbot also focuses on Fintech Infrastructure.
OctoBot provides self-hosting options for complete data control and customization, while Hummingbot may be primarily cloud-based or require different deployment approaches.