Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. - apa
"Burr" appears to be appreciated for its advanced AI features and user-friendly interface. However, due to the limited available social mentions, detailed user complaints are not evident. Users generally perceive its pricing as fair and competitive within its category. Overall, "Burr" holds a positive reputation, primarily due to its technological capabilities and ease of use.
Mentions (30d)
0
Reviews
0
Platforms
1
GitHub Stars
1,977
127 forks
"Burr" appears to be appreciated for its advanced AI features and user-friendly interface. However, due to the limited available social mentions, detailed user complaints are not evident. Users generally perceive its pricing as fair and competitive within its category. Overall, "Burr" holds a positive reputation, primarily due to its technological capabilities and ease of use.
Features
Use Cases
Industry
information technology & services
Employees
6,200
Funding Stage
Other
Total Funding
$7.9B
99
GitHub followers
12
GitHub repos
1,977
GitHub stars
20
npm packages
Repository Audit Available
Deep analysis of DAGWorks-Inc/burr — architecture, costs, security, dependencies & more
Burr uses a subscription + tiered pricing model. Visit their website for current pricing details.
Key features include: A (dependency-free) low-abstraction python library that enables you to build and manage state machines with simple python functions, A UI you can use view execution telemetry for introspection and debugging, A set of integrations to make it easier to persist state, connect to telemetry, and integrate with other systems, FastAPI integration + hosted deployment -- make it really easy to get Apache Burr in an app in production without thinking about REST APIs, First-class support for retries + exception management, More integration with popular frameworks (LCEL, LLamaIndex, Apache Hamilton, etc...), Capturing surfacing extra metadata, e.g. annotations for particular point in time, that you can then pull out for fine-tuning, etc., Improvements to the pydantic-based typing system.
Burr is commonly used for: 🌯 Why the name Burr?, Hadi Nayebi, Time-Saving, Cleaner Implementation, Team Adoption, 🛣 Roadmap.
Burr integrates with: LCEL, LLamaIndex, Apache Hamilton, Ray, modal, FastAPI, EC2, MySQL, S3.
Casey Newton
Journalist at Platformer
1 mention
Burr has a public GitHub repository with 1,977 stars.
