Watch: Pricing includes event and retention meters, including...
LangWatch
LangWatch is an open-source LLMOps platform for traces, evaluations, datasets, AI gateway workflows, DSPy optimization, self-hosting, and...
Developer free / paid plans from €59/month / Enterprise custom
Best plan
Use Developer for early tracing and evaluation checks, Growth when...
Risk: Pricing includes event and retention meters, including...
Editorial · no paid placements
Should you use it?
LangWatch is an open-source LLMOps platform for traces, evaluations, datasets, AI gateway workflows, DSPy optimization, self-hosting, and monitoring. Pick it when a team wants an open-source operating layer for LLM app quality. Compare Langfuse for a more established open-source observability lane, Braintrust for eval program management, and Portkey for gateway-first governance.
- Buy if Teams that want open-source LLMOps with traces and evaluations
- Pick Use Developer for early tracing and evaluation checks, Growth when a product team needs paid LangWatch capacity, unlimited evaluations, DSPy optimization, and event meters, and Enterprise when SSO, RBAC, support, hosting, and security controls need contract terms
- Skip if Buyers who need fine-tuning as the core workflow
Plan guidance
What to buy
Free
Pricing includes event and retention meters, including...
Current pricing source: LangWatch pricing
Fit
Use it for this, skip it for that
Best for
- Teams that want open-source LLMOps with traces and evaluations
- Product engineers testing prompts and agents with datasets and evals
- Teams that care about DSPy optimization and experimentation
- Buyers who want a self-hosting path with paid cloud or enterprise options
Avoid if
- Buyers who need fine-tuning as the core workflow
- Teams that only need cheap provider routing
- Non-technical teams without tracing or eval ownership
- Teams with high trace volume that have not modeled event and retention costs
- Watch out
- Pricing includes event and retention meters, including 200,000 included events plus a per-event overage shown on the pricing page, so high-volume tracing needs usage modeling.
Recent changes
Only what affects the decision
- Developer
The pricing page meta description says users can start free with the LangWatch Developer plan
LangWatch pricing - Growth
The pricing page states paid plans start from €59/month and includes event and retention meters for Growth
LangWatch pricing - Enterprise
Enterprise is positioned for custom SSO/RBAC, support, and security needs
LangWatch pricing
Alternatives
Best swaps
Open AI collaboration hub for models, datasets, Spaces, inference endpoints, evaluations, and enterprise ML workflows.
Free hub access; Pro $9/mo; Team $20/user/mo; Enterprise from $50/user/mo; paid compute/storage · 9.3/10 LiteLLMOpen-source LLM gateway and Python SDK for one OpenAI-compatible interface across 100+ model providers, with routing, virtual ke
Free MIT core outside enterprise directory; Enterprise custom · 8.8/10 promptfooOpen-source LLM evaluation, red teaming, vulnerability scanning, guardrails, model security, MCP proxy, code scanning, and enter
Community free / Enterprise custom / On-Premise custom · 8.8/10Proof and score math Verified Jun 28
Proof
Why this recommendation is trusted
- Source
- Registered source
- Freshness
- Current
- Confidence
- High confidence
- Verified
- Review
- Volatility
- Volatile
High-volatility evidence needs frequent review.
Editorial score
Unweighted average of 4 axes · confidence high
- Utility 8/10
How much real work it can do for a competent operator, end to end.
- Value 8/10
What you get for the dollar relative to the closest alternative.
- Moat 7/10
How hard it would be for a competitor to replicate the underlying advantage.
- Longevity 8/10
How likely the product is to still be best-in-class 24 months out.
Verified facts
- Best For LLM product teams that want an open-source LLMOps platform for traces, evaluations, datasets, AI gateway workflows, DSPy optimization, self-hosting, and monitoring.
- Pricing Anchor LangWatch pricing says Developer starts free, paid plans start from €59/month, and the page lists Growth and Enterprise tiers with event, retention, SSO/RBAC, and support details.
- Watch Out For Pricing includes event and retention meters, including 200,000 included events plus a per-event overage shown on the pricing page, so high-volume tracing needs usage modeling.
- Open Source Or Local The LangWatch repository is Apache-2.0 licensed.
- Usage Model LangWatch docs cover traces, evaluations, datasets, AI gateway, self-hosting, event-sourcing operations, and API access for trace search and metadata.
Full review notes Long-form details, FAQ, and source history
LangWatch is an open-source LLMOps platform for observing, evaluating, and improving LLM applications. It covers traces, evaluations, datasets, AI gateway workflows, DSPy optimization, self-hosting, and operations monitoring.
quality. If the main pain is tracing and evals with a self-hosting option, LangWatch belongs on the shortlist. If the main pain is traffic routing or fine-tuning, start elsewhere.
System Verdict
Pick LangWatch when open-source LLMOps is the job. It is strongest for teams that want traces, evaluations, datasets, DSPy optimization, self-hosting, and monitoring in one platform.
Skip it when model routing is the whole problem. Portkey or Helicone fit better when the buyer mainly needs live provider routing, caching, fallback, budgets, and gateway policy.
Best plan guidance: start with Developer for early use. Move to Growth when paid capacity, event allowances, evaluation volume, and DSPy optimization matter. Use Enterprise when SSO, RBAC, support, security, and deployment controls need contract terms.
Key Facts
| Core job | LLMOps, traces, evaluations, datasets, gateway workflows, DSPy optimization |
| Developer | Free starting plan |
| Growth | Paid plans from €59/month |
| Usage meter | 200,000 included events plus a per-event overage shown on pricing page |
| Retention meter | Custom retention listed at €3/GB on the pricing page |
| License | Apache-2.0 |
When To Pick LangWatch
- You want open-source LLMOps. LangWatch has a self-hosting path and Apache-2.0 repository license.
- You need traces and evals together. The docs expose traces, evaluations, datasets, metadata, and API access.
- You care about DSPy optimization. LangWatch gives DSPy optimization a first-class product lane.
- You need event-sourcing operations. Self-hosting docs include queue, projection, and operations monitoring concepts.
- You want to avoid vendor-only eval workflows. LangWatch can be a middle ground between local frameworks and managed platforms.
When To Pick Something Else
- Mature hosted eval ops: Braintrust when human review, experiment management, scoring, and release evidence are primary.
- LangChain-native operations: LangSmith when LangChain or LangGraph is already the production stack.
- Open-source tracing and prompt management: Langfuse when a more established open-source observability product is the first comparison.
- Gateway governance: Portkey when routing, keys, guardrails, caching, budgets, and provider policy are central.
- Fine-tuning: OpenPipe when the workflow is turning production logs into cheaper specialized models.
Pricing
LangWatch pricing was checked on June 28, 2026 against the official pricing page.
| Plan | Public price | Included shape | Buyer fit |
|---|---|---|---|
| Developer | Free | Start-free developer path | Early traces, evals, and testing |
| Growth | From €59/month | Paid capacity, unlimited evaluations, DSPy optimization, 200,000 included events, per-event overage | Product teams operating shared LLM apps |
| Enterprise | Custom | SSO/RBAC, support, and enterprise security needs | Larger teams and governed production deployments |
The practical buying advice: model event volume and retention. LangWatch’s public pricing text includes 200,000 events and a per-event overage, so agent-heavy traces can change the real bill.
Failure Modes
- Trace volume can grow fast. Multi-step agents, retrieval, tool calls, and retries can create more events than expected.
- Self-hosting needs operations ownership. Event-sourcing, queues, projection replay, and storage are not free maintenance.
- Eval quality still depends on datasets. A platform does not replace representative examples and clear rubrics.
- Pricing extraction is partly dynamic. The public page states paid plans from €59/month, but buyers should verify final plan-card and currency details before purchase.
- Gateway features are not the same as gateway-first products. Compare Portkey or Helicone when live traffic control is the main use case.
Methodology
This page was produced by the aipedia.wiki editorial pipeline. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-28 against LangWatch docs, pricing, repository, and license sources.
FAQ
Is LangWatch free? LangWatch pricing says users can start free with the Developer plan. Paid plans start from €59/month.
Is LangWatch open source? The LangWatch repository is Apache-2.0 licensed.
LangWatch vs Langfuse? LangWatch is an open-source LLMOps platform with traces, evals, datasets, DSPy optimization, and self-hosting. Langfuse is the more established open-source observability and prompt-management comparison for many teams.
Sources
- LangWatch official site: product positioning
- LangWatch docs index: traces, evaluations, datasets, AI gateway, self-hosting, and API docs
- LangWatch pricing: Developer, Growth, Enterprise, event, retention, and support details
- LangWatch license: Apache-2.0 license
Related
- Category: AI Infrastructure · AI Automation · AI Coding
- Alternatives: Langfuse · Braintrust · Portkey · LangSmith
Reader reviews
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Cite this page For journalists, researchers, and bloggers
According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/langwatch/) aipedia.wiki Editorial. (2026). LangWatch: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/langwatch/ aipedia.wiki Editorial. "LangWatch: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/langwatch/. Accessed July 2, 2026. aipedia.wiki Editorial. 2026. "LangWatch: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/langwatch/. @misc{langwatch-editorial-review-2026,
author = {{aipedia.wiki Editorial}},
title = {LangWatch: Editorial Review},
year = {2026},
publisher = {aipedia.wiki},
url = {https://aipedia.wiki/tools/langwatch/},
note = {Accessed: 2026-07-02}
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