BentoML
Open source toolkit and managed inference platform for packaging deploying and operating AI models and pipelines with clean Python APIs strong performance and clear operations.
Pricing Free (OSS) / By quote
Category coding
Difficulty Beginner
Type Web App
Status Active
Codeium
Free AI coding toolkit with autocomplete chat and refactor inside popular IDEs plus an optional Windsurf editor for agentic coding and larger contexts.
Pricing Free / Starts $15 per month
Category coding
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in BentoML
model-servingmlopsinferenceopen-sourcekubernetesgpu
Shared
None
Only in Codeium
autocompleteidechatsearchrefactoragents
Key Features
BentoML
- • Python SDK for clean typed inference APIs
- • Package services into portable bentos
- • Optimized runners batching and streaming
- • Adapters for torch tf sklearn xgboost llms
- • Managed platform with autoscaling and metrics
- • Self host on Kubernetes or VMs
Codeium
- • Autocomplete in IDE with multi line suggestions and local awareness
- • Chat to explain errors generate tests and draft refactors inline
- • Repo search to find symbols usages and similar implementations
- • Lightweight install for VS Code JetBrains and other editors
- • Privacy controls with clear docs for local context handling
- • Enterprise options for policy controls and deployment flexibility
Use Cases
BentoML
- → Serve LLMs and embeddings with streaming endpoints
- → Deploy diffusion and vision models on GPUs
- → Convert notebooks to stable microservices fast
- → Run batch inference jobs alongside online APIs
- → Roll out variants and manage fleets with confidence
- → Add observability to latency errors and throughput
Codeium
- → Speed feature work with context aware suggestions inside IDE
- → Explain unfamiliar code paths and propose refactors during reviews
- → Search large repos to map usages before risky edits
- → Generate unit tests and scaffolds that match local patterns
- → Fix build breaks by asking chat to trace the failing step
- → Prep interviews and katas with quick hints in side panel
Perfect For
BentoML
ML engineers platform teams and product developers who want code ownership predictable latency and strong observability for model serving
Codeium
individual developers startup teams platform engineers and enterprise shops that want free autocomplete plus optional agent workflows in a dedicated editor
Capabilities
BentoML
Typed Services Intermediate
Runners and Batching Professional
Managed Platform Professional
CLI and GitOps Intermediate
Codeium
Autocomplete Professional
Inline Chat Professional
Semantic Search Intermediate
Windsurf Sessions Professional
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