Open Source
BudgetML
Deploy a ML inference service on a budget in less than 10 lines of code.
Our verdict
We have not reviewed BudgetML yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About BudgetML
BudgetML is a Python library for deploying machine learning inference services quickly and cheaply. It can be set up with fewer than ten lines of code, using a simple API. The project is open source and community maintained.
Best for
Developers who need a lightweight, low-cost way to serve ML models without complex infrastructure
Use cases
- Rapidly prototyping ML API endpoints
- Serving models with minimal infrastructure cost
- Adding inference to web applications with low overhead
Notes
1,345 stars on GitHub. Last updated 2024-02-12. Licensed Apache-2.0.
Pros
- Extremely simple to set up with little code
- Low resource usage and cost effective
- Open source with active community
Cons
- May lack advanced routing or scaling features
- Limited to Python ecosystem
- Documentation and support may be less comprehensive than commercial alternatives
Key facts
What we have checked
- Latest version
- 0.1.0 (released 31 Jan 2021)
- GitHub stars
- 1,344
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How BudgetML is growing
1,345 to 1,344
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.1.0
Pairs with
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