Helicone
Python client library that captures OpenAI API calls and forwards them to Helicone
- Also known as
- helicone
What is Helicone?
A Python wrapper that automatically captures and logs all OpenAI API calls for monitoring and analysis.
What Helicone does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- LLM observability / eval
- Self-hostable / OSS core
- -
- Managed cloud available
- -
- On-prem / VPC deployment
- -
- LLM tracing / observability
- ✓
- Evaluation (offline / LLM-judge / human)
- -
- Prompt management + versioning
- -
- Experiment tracking / model registry
- -
- Model serving / inference endpoint
- -
- OpenTelemetry / OpenLLMetry compatible
- -
- Framework-agnostic
- -
- Multi-provider model support
- ✗
- No-train-on-customer-data guarantee
- -
Integrations (2)
Independently observed- Helicone
- OpenAI
Helicone alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- LangChainAn open platform for building and managing AI agentsmedium · 69%
- PortkeyUnified command center for operating AI systems reliably in productionmedium · 74%
- BasetenAn inference platform for deploying AI models to production with high performance and global scalemedium · 72%
- Together AIOpen-source model hosting and inference platformmedium · 59%
- Ollamamedium · 56%
- RayDistributed computing framework for scaling machine learning and Python applicationsmedium · 65%
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Helicone, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package downloads | 34 | 0.14 | 4.6 | ✓ |
| Capabilities | 46 | 0.07 | 3.2 | ✓ |
| Integrations | 14 | 0.08 | 1.1 | ✓ |
| Stars | 0 | 0.03 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | - |
| Development activity | 0 | 0.09 | 0.0 | - |
| Release cadence | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.06 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Package downloads weekly | 396 | highsource · 2026-08-03 · 85% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: observability · Multi provider: No · Llm observability: Yes · Mit or apache permissive oss license: Yes | mediumsource · 2026-10-13 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-10-13 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-13 · 80% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-13 · 90% |
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-21 · 60% |
Is Helicone the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Helicone against the rest of the mlops & llmops tools we index, using the same dated evidence weighted your way.
Free to run, no account needed to start. How the evaluation works
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