Software Development · head to head
DeepSource vs Traceloop

DeepSource
Software Development
Automated code review and AI-powered code fixes for engineering teams.
- From
- Free
- Rated
- -

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -
The short version
- Each has a real cost: DeepSource open Source plan caps at 1,000 reviewed pull requests and 1,000 formatting runs per month.; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
- They diverge on capability: DeepSource covers Automated pull request review, Traceloop covers Open-source SDK (OpenLLMetry).
Where they differ
Only the attributes on which DeepSource and Traceloop actually diverge.
| Attribute | DeepSource | Traceloop |
|---|---|---|
| Pricing model | freemium | Freemium with pay-as-you-go enterprise option |
| Platforms | web, api | Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby |
| Category | Software Development | Logging |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in DeepSource
- Automated pull request review
- AI-powered autofix
- Automated code formatting
- Monorepo support
- API and webhooks
- Bring-your-own-key AI
Only in Traceloop
- Open-source SDK (OpenLLMetry)
- Multi-provider support
- Observability platform integration
- Framework support
- Monitoring dashboard
- Evaluation system
- Deployment flexibility
What people use each for
The jobs each tool is most often brought in to do.
DeepSource
- Automating pull request code review for engineering teamsnot Traceloop
- Auto-fixing detected code issues with AInot Traceloop
- Enforcing code formatting standards automaticallynot Traceloop
- Scanning large monorepos for quality issuesnot Traceloop
- Running self-hosted AI review in regulated environmentsnot Traceloop
Traceloop
- Monitoring LLM application performance in productionnot DeepSource
- Instrumenting LLM apps with minimal code overheadnot DeepSource
- Continuous evaluation and quality scoring of LLM outputsnot DeepSource
- Debugging LLM application issues with full trace visibilitynot DeepSource
- Integrating observability data into existing monitoring stacksnot DeepSource
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DeepSource
- Open Source plan caps at 1,000 reviewed pull requests and 1,000 formatting runs per month.
- AI Review beyond the included credit is billed per 10K lines of code, which can add unpredictable cost.
- Self-hosted deployment and BYOK AI are Enterprise-only features.
- Enterprise pricing is not published and requires contacting sales.
Traceloop
- Free tier limited to 50k spans per month and 24-hour retention, restricting production use
- Company acquisition by ServiceNow creates uncertainty about future roadmap
- Requires integration with separate observability platforms for visualization
- Less feature-rich than dedicated LLM evaluation platforms
Pricing, plan by plan
DeepSource
Free- Open SourceFree
- Free for public repositories
- 1,000 pull requests reviewed/month
- 1,000 automated formatting runs/month
- Team$24/month
- Unlimited repositories and pull request reviews
- $100 annual AI Review credit per user
- Monorepo support
- Enterprise$undefined/month
- Self-hosted deployment
- Bring-your-own-key AI Review
- SSO
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom data retention
Which should you pick?
Choose DeepSource if
- You need automated pull request review.
- You want to start without paying.
- You work on web, api.
- You also want ai-powered autofix.
Choose Traceloop if
- You need open-source sdk (openllmetry).
- You want to start without paying.
- You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- You also want multi-provider support.
Questions people ask
- Is DeepSource or Traceloop better?
- Neither clearly leads. DeepSource starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DeepSource or Traceloop?
- DeepSource starts at Free and Traceloop at Free.
- Does DeepSource or Traceloop run on more platforms?
- DeepSource runs on web, api. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- Can I use DeepSource for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DeepSource best used for?
- DeepSource is most often used for automating pull request code review for engineering teams, auto-fixing detected code issues with ai, enforcing code formatting standards automatically, scanning large monorepos for quality issues. Of those, automating pull request code review for engineering teams and auto-fixing detected code issues with ai are not what Traceloop is typically brought in for.
- What can DeepSource do that Traceloop cannot?
- DeepSource covers Automated pull request review, AI-powered autofix, Automated code formatting, Monorepo support. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.
Answered from the vendors’ own pages
DeepSource: What does DeepSource cost?
The Open Source plan is free for public repos; Team is $24 per user/month billed yearly with a $100 annual AI Review credit; Enterprise is custom-priced with self-hosted options.
SourceTraceloop: Is OpenLLMetry open-source?
Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.
SourceDeepSource: Is there a free plan, and what are its limits?
Yes, the free Open Source plan covers public repositories with 1,000 pull requests reviewed per month and 1,000 automated formatting runs per month.
SourceTraceloop: What is the impact of ServiceNow acquisition?
Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.
SourceDeepSource: How is AI Review usage metered?
Team plans include a $100 annual AI Review credit per user, with additional usage billed at Standard ($8/10K LOC) or Advanced ($15/10K LOC) tiers.
SourceTraceloop: How many LLM providers and frameworks does Traceloop support?
Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.
SourceDeepSource: Can I change or cancel my plan?
Yes, subscriptions can be downgraded or canceled at any time.
SourceRelated pages
Other head to heads
- DeepSource vs Cursor
- DeepSource vs Windsurf
- DeepSource vs Zed
- DeepSource vs Amp
- DeepSource vs Braintrust
- DeepSource vs Codacy
- DeepSource vs Devin
- DeepSource vs SonarQube Cloud
- DeepSource vs Augment Code
- DeepSource vs Baseten
- DeepSource vs Drizzle ORM
- DeepSource vs Flagsmith
- DeepSource vs Unleash
- DeepSource vs Bun
- DeepSource vs Cline
- DeepSource vs Factory
- DeepSource vs Humanloop
- DeepSource vs Langfuse
- DeepSource vs Elastic Stack
- DeepSource vs New Relic
- DeepSource vs Datadog Logs
- DeepSource vs Coralogix
- DeepSource vs Grafana Loki
- DeepSource vs incident.io
- DeepSource vs Cronitor
- DeepSource vs FireHydrant
- DeepSource vs Healthchecks
- DeepSource vs Openstatus
- DeepSource vs Rootly
- DeepSource vs Checkly
- DeepSource vs CloudWatch
- DeepSource vs Dynatrace
- DeepSource vs InfluxDB
- DeepSource vs Airbrake
- DeepSource vs AppDynamics
- DeepSource vs Axiom
- Traceloop vs Cursor
- Traceloop vs Windsurf
- Traceloop vs Zed
- Traceloop vs Amp
- Traceloop vs Braintrust
- Traceloop vs Codacy
- Traceloop vs Devin
- Traceloop vs SonarQube Cloud
- Traceloop vs Augment Code
- Traceloop vs Baseten
- Traceloop vs Drizzle ORM
- Traceloop vs Flagsmith
- Traceloop vs Unleash
- Traceloop vs Bun
- Traceloop vs Cline
- Traceloop vs Factory
- Traceloop vs Humanloop
- Traceloop vs Langfuse
- Traceloop vs Elastic Stack
- Traceloop vs New Relic
- Traceloop vs Datadog Logs
- Traceloop vs Coralogix
- Traceloop vs Grafana Loki
- Traceloop vs incident.io
- Traceloop vs Cronitor
- Traceloop vs FireHydrant
- Traceloop vs Healthchecks
- Traceloop vs Openstatus
- Traceloop vs Rootly
- Traceloop vs Checkly
- Traceloop vs CloudWatch
- Traceloop vs Dynatrace
- Traceloop vs InfluxDB
- Traceloop vs Airbrake
- Traceloop vs AppDynamics
- Traceloop vs Axiom
