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Langfuse vs OptScale - MLOps & FinOps open source platform
Short answer: Pick Langfuse if you want LLM observability & analytics; pick OptScale - MLOps & FinOps open source platform if you want experiment tracking with cost optimization. Langfuse has a free plan, paid from $29/month; OptScale - MLOps & FinOps open source platform has a free plan.
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LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️
OptScale - MLOps & FinOps open source platformMLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and costWhich to pick
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not OptScale - MLOps & FinOps open source platform's)
Pick OptScale - MLOps & FinOps open source platform if you want…
- Experiment tracking with cost optimization
- Integrations with AWS, Alibaba Cloud or Kubernetes (on OptScale - MLOps & FinOps open source platform's list, not Langfuse's)
Side by side
- What it is
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- OptScale - MLOps & FinOps open source platform:OptScale is an open-source MLOps and FinOps platform for tracking ML experiments and optimizing multi-cloud costs.
- Best for
- Langfuse:LLM observability & analytics
- OptScale - MLOps & FinOps open source platform:Experiment tracking with cost optimization
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- OptScale - MLOps & FinOps open source platform:ML/AI engineers and cloud cost managers
- Pricing
- Langfuse:Freemium
- OptScale - MLOps & FinOps open source platform:Freemium
- Starting price
- Langfuse:$29/month (Core)
- OptScale - MLOps & FinOps open source platform:—
- Free plan or trial
- Langfuse:Free plan (Hobby)
- OptScale - MLOps & FinOps open source platform:Free plan (Free)
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- OptScale - MLOps & FinOps open source platform:Free $0 · Pro $95 per cloud account per month
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- OptScale - MLOps & FinOps open source platform:Yes, 2,196 GitHub stars
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- OptScale - MLOps & FinOps open source platform:AWS, Alibaba Cloud, Kubernetes, Databricks, S3
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
OptScale - MLOps & FinOps open source platform features
- Experiment Tracking. Log and monitor ML/AI experiment runs in a central dashboard.
- Model Versioning. Store and manage different versions of trained models.
- ML Leaderboards. Compare model performance across experiments.
- Hyperparameter Tuning. Automate search for optimal hyperparameters.
- Training Instrumentation. Collect detailed metrics during model training.
- Cost Optimization Recommendations. Suggest RI/SI, storage, VM rightsizing and other savings across clouds.
Langfuse vs OptScale - MLOps & FinOps open source platform FAQ
What is the difference between Langfuse and OptScale - MLOps & FinOps open source platform?+
Langfuse provides LLM app observability, whereas OptScale targets general ML experiments and cloud cost optimization.
Should I use Langfuse or OptScale - MLOps & FinOps open source platform?+
Pick Langfuse if you want LLM observability & analytics or integrations with Python, TypeScript or Go (on Langfuse's list, not OptScale - MLOps & FinOps open source platform's). Pick OptScale - MLOps & FinOps open source platform if you want experiment tracking with cost optimization or integrations with AWS, Alibaba Cloud or Kubernetes (on OptScale - MLOps & FinOps open source platform's list, not Langfuse's).
Is Langfuse or OptScale - MLOps & FinOps open source platform free?+
Langfuse has a free plan (Hobby); paid plans start at $29/month (Core). OptScale - MLOps & FinOps open source platform has a free plan and paid plans.
Is Langfuse or OptScale - MLOps & FinOps open source platform open source?+
Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and OptScale - MLOps & FinOps open source platform (hystax/optscale on GitHub, Apache-2.0 license).
Do Langfuse and OptScale - MLOps & FinOps open source platform integrate with the same tools?+
Their integration lists don't overlap: Langfuse lists Python, TypeScript, Go, Java and 10 more; OptScale - MLOps & FinOps open source platform lists AWS, Alibaba Cloud, Kubernetes, Databricks and 1 more.
On DevHunt
OptScale - MLOps & FinOps open source platform
5 upvotes · Launched on DevHunt on Apr 16, 2024
Based on each tool's website and DevHunt data. Details may change; check the official sites.