Competitors
50
Summary
Comet ML is an AI developer platform offering end-to-end model evaluation, experiment tracking, and production monitoring. Its Opik platform specifically focuses on LLM observability, evaluation, and optimization, providing tools for logging traces, debugging, prompt engineering, and agent optimization for GenAI systems.
Feature Matches9/13
See all9/13
Must Have
5 of 5
Conversational AI
API Access
Safety & Alignment Framework
Fine-Tuning & Custom Models
Enterprise Solutions
Other
4 of 8
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Image Generation
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Open Source
$0.00 monthly
- Full LLM observability & evaluation featureset
- True OSS: same codebase as the hosted versions
- LLM tracing & analysis
- Datasets & experiments
- LLM-as-a-judge metrics
- Agent Optimizer Suite
Free Cloud
$0.00 monthly
- Unlimited team members
- LLM tracing & analysis
- Datasets & experiments
- LLM-as-a-judge metrics
- Agent Optimizer Suite
- 25k spans per month
- 60-day data retention
Pro Cloud
$39.00 monthly
- Unlimited team members
- Everything in the Free plan plus:
- Customizable monthly span limits
- Customizable data retention periods
- 100k spans per month
- 60-day data retention
Enterprise
Custom
- Unlimited team members
- Everything in the Pro plan plus:
- Flexible deployments
- Service accounts and view-only users
- Single sign-on
- Dedicated support and SLAs
- SOC 2, ISO 27001, ISO 9001, HIPAA, and GDPR compliance
- Custom usage plans
Rationale
Comet ML, particularly through its Opik product, directly addresses several 'must-have' features. It offers LLM evaluation and tracing, which aligns with conversational AI and API access for integrating these capabilities. The platform also emphasizes 'GenAI Guardrails' and 'Maximize Trust & Safety With Guardrails', indicating a focus on safety and alignment. While not explicitly 'fine-tuning', the 'Automate prompt engineering and turn LLM tuning into a repeatable, scalable process' suggests a form of model adaptation. Enterprise solutions are clearly offered with dedicated plans and features like SSO, flexible deployments, and compliance. Additionally, the platform supports code generation through its integrations with various ML frameworks and provides tools for research and publications through its documentation and blog. Security and red teaming are implied through its guardrail features and enterprise-grade security offerings.
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See allBest alternatives to [Product] in 2024?
Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
Check it out at our site.
[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Jan 28·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Jan 25·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.