BudgetML

BudgetML

ebhy
+
+

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About

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production quickly and cheaply. Cloud functions are limited in memory and cost a lot at scale. Kubernetes clusters are overkill for one single model. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers, etc., that are simply not within the scope of a typical data scientist. BudgetML is our answer to this challenge. It is supposed to be fast, easy, and developer-friendly. It is by no means meant to be used in a full-fledged production-ready setup. It is simply a means to get a server up and running as fast as possible with the lowest costs possible.

About

Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Any user wanting a tool to deploy ML models on a budget

Audience

Software Engineers, AI Engineers, Data Scientists, Product Managers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$29/month
Generous free tier and Pro Plans starting at USD 29/month.
Langfuse is open source so you will always be able to host the software yourself at no cost.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • I like that this is exclusively designed for LLMs only, so it takes a lot of clutter out of having to deal with features to do with rest of the models. Scores are very comprehensive including the ones related to query/response, ability to find rag relevance, cost related metrics which other tools typically do not offer and comprehensive trace function.

Cons

  • There wasn't much but if I have to highlight something here, self hosting was difficult. And the main dashboard can have drill downs to take it to relevant sections in traces/generations etc

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ebhy
github.com/ebhy/budgetml

Company Information

Langfuse
Founded: 2023
Germany
langfuse.com

Alternatives

Alternatives

Categories

Categories

Integrations

APIFuzzer
Claude
Docker
Dograh
FastAPI
Flowise
Gunicorn
Lamatic.ai
LangChain
LiteLLM
LlamaIndex
Mirascope
Netguru Omega
OAuth
OpenAI
Swagger
TierZero
Voker
Workers by Delos
ZenML

Integrations

APIFuzzer
Claude
Docker
Dograh
FastAPI
Flowise
Gunicorn
Lamatic.ai
LangChain
LiteLLM
LlamaIndex
Mirascope
Netguru Omega
OAuth
OpenAI
Swagger
TierZero
Voker
Workers by Delos
ZenML
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Claim BudgetML and update features and information
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