# 10 Best Langfuse Alternatives Compared & Ranked (2026) Dylan Cable August 20, 2026 Langfuse traces your agents and versions your prompts. Ten alternatives, ranked on how much of the rest of the loop they close. A Langfuse setup in production is rarely just Langfuse. Langfuse has no gateway, so failover when a provider rate-limits, load balancing across providers, and hard spend limits on a leaked key all live in a separate tool. Teams that want output scored on live production traffic, rather than on datasets they assemble by hand, usually add another product for that. Traces and prompt versions sit in Langfuse, and everything around those two jobs gets filled in with something else. This guide ranks the ten best Langfuse alternatives on how much of that work each one does inside a single system, from finding the trace behind a bad result through proving a fix and shipping it. ## What Is Langfuse? [Langfuse](https://langfuse.com/) is an open-source LLM engineering platform covering tracing, prompt management, evaluation, and metrics, founded in Berlin in 2022 and distributed under an MIT license. Teams instrument an application with the Python or TypeScript SDK, or send OpenTelemetry spans from anywhere, and get a nested trace of every model call, tool run, and retrieval step with latency and cost attached. Evaluation is genuinely part of the product rather than a checkbox. Datasets, experiments run from the SDK or the UI, LLM-as-judge evaluators, custom scores, human annotation queues, and alerts on score movement are all available, including on the free tier. Prompt management ships versioning, release labels, composability, server and client caching, and a playground, and it is the piece teams most often keep even after moving tracing elsewhere. Instrumentation coverage is broad. Callback handlers exist for the OpenAI SDK, LangChain, LlamaIndex, LiteLLM, the Vercel AI SDK, Haystack, and Mastra, and OpenTelemetry ingest handles Java, Go, and custom instrumentation. Native SDKs are Python and TypeScript only, so teams on other runtimes go through OTel or the API. ## ClickHouse Acquired Langfuse: What Changed [ClickHouse announced the acquisition of Langfuse](https://langfuse.com/blog/joining-clickhouse) on January 16, 2026, alongside a $400 million Series D led by Dragoneer. Langfuse was already built on ClickHouse for telemetry storage, which is the stated logic behind the deal. For anyone currently running Langfuse, [the roadmap](https://langfuse.com/docs/roadmap) is mostly unchanged. Their commitment to open source and self-hosting continues, and there are no immediate changes to how the product is used. That has held up in the release cadence so far: Langfuse v4 went live on August 17, 2026, marketed as real-time and up to 165 times faster at scale, and the open-source repository is still shipping releases weekly. ## Langfuse Pricing Langfuse Cloud bills a monthly subscription plus usage, where usage is counted in units rather than requests. A unit is a trace, an observation, or a score. - **Hobby** - Free. 50k units per month, 30 days of data access, 2 users, 1 annotation queue, 2 alerts, and 1,000 requests per minute of ingestion throughput. - **Core** - $29/mo. 100k units, 90 days of data access, unlimited users, 3 annotation queues, 20 alerts, and 4,000 requests per minute. - **Pro** - $199/mo. 100k units, 3 years of data access, 50 alerts, 20,000 requests per minute, SOC 2 Type II and ISO 27001 reports, and a HIPAA-ready region. - **Teams add-on** - $300/mo on top of Pro. Enterprise SSO, SSO enforcement, fine-grained RBAC, and a dedicated Slack or Teams channel. - **Enterprise** - $2,499/mo. Audit logs, SCIM, custom rate limits, uptime and support SLAs, and a dedicated support engineer. - **Overage** - $8 per additional 100k units on every paid tier, lower with volume commitments. The included allowance stops moving above Core. Pro and Enterprise both include the same 100k units, and every unit past that costs the same $8 per hundred thousand no matter which tier you sit on. What the higher tiers buy is retention, ingestion throughput, alert count, and access controls, which is a reasonable thing to sell and worth knowing before anyone budgets an upgrade as a way to cover growth. Self-hosting removes the meter and replaces it with infrastructure. The MIT core carries the full feature set rather than a limited community build, so this is a real option. What you take on is Postgres, ClickHouse, and the application containers, plus whoever gets paged when ingestion backs up. ## 10 Best Langfuse Alternatives | Tool | Covers | Pricing | Best for | | --- | --- | --- | --- | | [Respan](/content/articles/langfuse-alternatives#1-respan/index.html) | Tracing, evals, prompts, gateway | Free, Team $199/mo | Closing the whole loop in one place | | [LangSmith](/content/articles/langfuse-alternatives#2-langsmith/index.html) | Tracing, evals, prompts | Free, from $39/seat/mo | LangChain and LangGraph stacks | | [Braintrust](/content/articles/langfuse-alternatives#3-braintrust/index.html) | Evals, tracing, prompts, proxy | Free, Pro $249/mo | Regression gating in CI/CD | | [Arize](/content/articles/langfuse-alternatives#4-arize/index.html) | Tracing, evals | Free, from $50/mo | ML and LLM workloads together | | [Laminar](/content/articles/langfuse-alternatives#5-laminar/index.html) | Tracing, evals, signals | Free, Starter $30/mo | Agent traces at low storage cost | | [Confident AI](/content/articles/langfuse-alternatives#6-confident-ai/index.html) | Evals, tracing, prompts, red team | Free, Starter $200/mo | Metric depth and non-engineer review | | [Helicone](/content/articles/langfuse-alternatives#7-helicone/index.html) | Gateway, request logging | Free, Pro $79/mo | Existing proxy deployments | | [Galileo](/content/articles/langfuse-alternatives#8-galileo/index.html) | Evals, guardrails, audit | Free, Pro $150/mo | Regulated enterprise reporting | | [Weights & Biases Weave](/content/articles/langfuse-alternatives#9-weights--biases-weave/index.html) | Experiment tracking, tracing, evals | Free, Pro from $60/mo | Teams already tracking experiments | | [MLflow](/content/articles/langfuse-alternatives#10-mlflow/index.html) | Tracking, registry, tracing, evals, gateway | Free, open source | Owning the whole stack yourself | ### 1. Respan [Respan](/content/ai-observability/index.html) is the only platform here that runs gateway, observability, monitoring, and evals as one system, which means the model that served a request and the score that request earned are attached to each other by default rather than by a join somebody writes. Route, observe, and evaluate every LLM call. Instead of reading logs after the fact, teams use Respan to run observability in production, know when production shifts, and act before it spreads. **Pricing:** Free covers 100k logs, 1k scores, 5 datasets, 2 evaluators, 5 prompts, and 7-day retention, with unlimited seats. Team is $199/mo billed yearly and lifts datasets, evaluators, and prompts to unlimited with 10k scores, 30-day retention, and 99.9% uptime SLA. ### 2. LangSmith [LangSmith](https://smith.langchain.com/) covers tracing, datasets, evaluation scoring, annotation queues, and a prompt hub, which is close to the same surface area as Langfuse. **Pricing:** Free Developer tier with 5k base traces per month. Plus at $39 per seat per month plus $0.50 per 1k base traces. ### 3. Braintrust [Braintrust](https://www.braintrust.dev/) centers around evaluations, integrating CI capabilities through GitHub Actions and GitLab CI, allowing scoring functions and regression detection. **Pricing:** Free tier with 1 GB of processed data, unlimited users, and 10k eval runs monthly. Pro at $249/mo scaling with usage. ### 4. Arize [Arize](https://arize.com/) provides ML observability extended into LLM workloads, offering drift detection and performance tracking across various frameworks. **Pricing:** Free tier capped at one user and 25k trace spans. Paid plans from around $50/mo. ### 5. Laminar [Laminar](https://laminar.sh/) focuses on storage efficiency, reconstructing traces on read while reducing data storage needs significantly. **Pricing:** Free covers 1 GB with no overage, Starter $30/mo for 3 GB then $2/GB. ### 6. Confident AI [Confident AI](https://www.confident-ai.com/) prioritizes evaluations, with tools for continuous online assessments and prompt management. **Pricing:** Free at $0 with 2 seats, Starter $200/mo. ### 7. Helicone [Helicone](https://www.helicone.ai/) serves as a gateway for logging requests and managing traffic without complex application code changes. **Pricing:** Hobby free with 10,000 requests per month. Pro $79/mo with unlimited seats. ### 8. Galileo [Galileo](https://galileo.ai/) is aimed at teams focused on compliance, featuring evaluator setups without complex configuration. **Pricing:** Free at 5,000 traces per month. Pro at $150/mo. ### 9. Weights & Biases Weave [Weights & Biases](https://wandb.ai/) offers integration into LLM workflows, with deep tracking for normal workflows and LLM evaluations. **Pricing:** Free gives storage and usages limits, Pro from $60/mo. ### 10. MLflow [MLflow](https://mlflow.org/) is an established platform for tracking models and now includes features for GenAI workloads as well. **Pricing:** Free and open source, with operational costs based on your deployment. ## Frequently Asked Questions ### What is the best Langfuse alternative? Respan, for most teams running agents in production, because it closes more of the loop in one system than anything else here. A bad score links to the trace that produced it, that trace becomes a dataset, an experiment proves the fix against real data, and the same evaluator keeps scoring live traffic afterwards.