Machine Learning · head to head
ClearML vs Semgrep

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -

Semgrep
Cybersecurity
Open-source static analysis tool for finding security bugs and enforcing code standards.
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Semgrep free tier caps out at 10 contributors and 10 repositories.
- They diverge on capability: ClearML covers Experiment tracking, Semgrep covers Static code scanning.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which ClearML and Semgrep actually diverge.
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 ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
Only in Semgrep
- Static code scanning
- Supply chain scanning
- Secrets detection
- Cross-file analysis
- AI-powered triage and remediation
- CI/CD integration
What people use each for
The jobs each tool is most often brought in to do.
ClearML
- Tracking experiments across a team so results are reproduciblenot Semgrep
- Moving training from laptops to shared GPU hardware without repackagingnot Semgrep
- Versioning datasets alongside the experiments that consumed themnot Semgrep
Semgrep
- Scanning code for security vulnerabilities in CI/CDnot ClearML
- Detecting vulnerable open-source dependenciesnot ClearML
- Finding hardcoded secrets before code shipsnot ClearML
- Enforcing custom code standards with rule setsnot ClearML
- Prioritizing findings with AI-assisted triagenot ClearML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
Semgrep
- Free tier caps out at 10 contributors and 10 repositories.
- Secrets scanning is priced as a separate module ($15/contributor) from Code and Supply Chain.
- Self-managed repositories and custom CI/CD require the Enterprise tier.
- AI credits are limited per tier and additional usage requires upgrading.
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
Semgrep
Free- FreeFree
- Up to 10 contributors
- Code and Supply Chain scanning
- 60 AI credits total
- Teams$30/month
- Code, Supply Chain, or Secrets scanning per contributor
- Pro rules
- AI-powered triage and remediation
- Enterprise$undefined/month
- On-prem support
- Custom CI/CD
- 50 AI credits per developer/month
Which should you pick?
Choose ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Choose Semgrep if
- You need static code scanning.
- You want to start without paying.
- You work on web, api, linux, mac, windows.
- You also want supply chain scanning.
Questions people ask
- Is ClearML or Semgrep better?
- Neither clearly leads. ClearML starts at Free and Semgrep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or Semgrep?
- ClearML starts at Free and Semgrep at Free.
- Does ClearML or Semgrep run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Semgrep runs on web, api, linux, mac, windows.
- Can I use ClearML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClearML best used for?
- ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Semgrep is typically brought in for.
- What can ClearML do that Semgrep cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Semgrep covers Static code scanning, Supply chain scanning, Secrets detection, Cross-file analysis.
Answered from the vendors’ own pages
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
Semgrep: What does Semgrep cost?
The Free edition covers up to 10 contributors; Teams starts at $30/contributor/month for Code scanning (Supply Chain also $30, Secrets $15); Enterprise is custom-priced.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
Semgrep: Is there a free plan, and what are its limits?
Yes, the Free edition supports up to 10 contributors and 10 repositories with Code and Supply Chain scanning plus 60 AI credits total.
SourceClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
Semgrep: How is usage metered?
Pricing is per contributor, defined as someone who made at least one commit to a scanned private repository in the past 90 days.
SourceSemgrep: Is there special pricing for startups?
Yes, Semgrep offers special startup pricing upon request for early-stage companies.
SourceRelated pages
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- Semgrep vs Neptune.ai
- Semgrep vs Dataiku
- Semgrep vs Pachyderm
- Semgrep vs Azure Machine Learning
- Semgrep vs Domino Data Lab
- Semgrep vs DVC
- Semgrep vs AWS SageMaker
- Semgrep vs Google Vertex AI
- Semgrep vs DataRobot
- Semgrep vs Pinecone
- Semgrep vs Python
- Semgrep vs PyTorch
- Semgrep vs scikit-learn
- Semgrep vs Apache Spark MLlib
- Semgrep vs Weaviate
- Semgrep vs Veracode
- Semgrep vs Arnica
- Semgrep vs Trivy
- Semgrep vs Grype
- Semgrep vs Snyk
- Semgrep vs Bitwarden
- Semgrep vs Infisical
- Semgrep vs Chainguard
- Semgrep vs Authelia
- Semgrep vs HashiCorp Vault
- Semgrep vs Ory Kratos
- Semgrep vs authentik
- Semgrep vs SentinelOne Singularity
- Semgrep vs Shufti Pro
- Semgrep vs Signicat
- Semgrep vs Silent Eight
- Semgrep vs Socket
- Semgrep vs Socure
