Logging · head to head
Airbrake vs Anaconda

Anaconda
Machine Learning
The world's most popular data science platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; Anaconda dependency resolution slower than pip due to SAT solver complexity
- They diverge on capability: Airbrake covers Error tracking, Anaconda covers Conda package manager.
Where they differ
Only the attributes on which Airbrake and Anaconda 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 Airbrake
- Error tracking
- Performance monitoring
- Deploy tracking
- Custom notifications
- API
- Webhooks
- REST
- Web support
Only in Anaconda
- Conda package manager
- Environment management
- 1500+ packages
- Navigator GUI
- Cross-platform support
- Jupyter
- VS Code
- PyCharm
What people use each for
The jobs each tool is most often brought in to do.
Airbrake
- Error and exception monitoring for web applicationsnot Anaconda
- Performance monitoring alongside error trackingnot Anaconda
- Alerting a team when a deploy introduces a spike in errorsnot Anaconda
- Tracking errors across multiple projects in one accountnot Anaconda
Anaconda
- Machine learningnot Airbrake
- Data analysisnot Airbrake
- Model trainingnot Airbrake
- Predictive analyticsnot Airbrake
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Airbrake
- Data retention is 30 days on every plan, including the $799 a month Business tier
- The entry plan at $19 a month covers 25,000 errors and 7,500 events
- Errors beyond the plan quota are billed on demand
- Audit logs and spike forgiveness require the Pro tier
- The lowest tier is limited to 1 user and 1 team
Anaconda
- Dependency resolution slower than pip due to SAT solver complexity
- Not all PyPI packages available through default Anaconda repository
- Requires paid licenses for organizations with 200+ employees
- Larger disk footprint than minimal Python installations
Pricing, plan by plan
Airbrake
Free- Tier 1 (Dev + errors)$19/month
- 25,000 errors per month
- 1 user
- 1 team
- Tier 2 (Basic + errors)$38/month
- 100,000 errors per month
- Unlimited users
- 3 teams
- Pro$76/month
- Unlimited users
- Unlimited teams
- Unlimited projects
- Tier 5 (Growth)$299/month
- 1 million errors per month
Anaconda
Free- FreeFree
- 600+ pre-installed packages
- Anaconda Navigator
- 5GB cloud storage
- Starter$15/month
- 10GB cloud storage per user
- Professional development environment
- Team workspace controls
- Business$50/month
- Automated vulnerability scanning
- Audit trails
- Enterprise SSO
Which should you pick?
Choose Airbrake if
- You need error tracking.
- You want to start without paying.
- You work on Web, Api.
- You also want performance monitoring.
Choose Anaconda if
- You need conda package manager.
- You want to start without paying.
- You work on Windows, macOS, Linux, Web/Cloud.
- You also want environment management.
Questions people ask
- Is Airbrake or Anaconda better?
- Neither clearly leads. Airbrake starts at Free and Anaconda at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Airbrake or Anaconda?
- Airbrake starts at Free and Anaconda at Free.
- Does Airbrake or Anaconda run on more platforms?
- Airbrake runs on Web, Api. Anaconda runs on Windows, macOS, Linux, Web/Cloud.
- Can I use Airbrake for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Airbrake best used for?
- Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what Anaconda is typically brought in for.
- What can Airbrake do that Anaconda cannot?
- Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI.
Answered from the vendors’ own pages
Airbrake: What is the lowest-cost Airbrake plan and what does it include?
Tier 1 costs $19 per month and includes 25,000 errors per month, 1 user seat, 1 team, and unlimited projects. This plan targets individual developers. A 10% discount applies when paying annually ($17.10 per month).
SourceAnaconda: Does Anaconda have a free version?
Yes. Anaconda Distribution is free and includes 600+ pre-installed data science packages, Navigator, and 5GB of cloud storage. Organizations with 200+ employees must use paid plans unless they qualify for academic or non-profit exemptions.
SourceAirbrake: Which Airbrake plan is marked as the best value?
The Pro plan at $76 per month is marked as Best Value. It includes unlimited users, unlimited teams, unlimited projects, audit logs, and spike forgiveness. Annual billing provides a 10% discount ($68 per month).
SourceAnaconda: What is the difference between Anaconda Distribution and Miniconda?
Anaconda Distribution includes 600+ pre-installed packages optimized for data science out of the box. Miniconda is lightweight with only conda, Python, and essential packages, requiring manual installation of additional libraries.
SourceAirbrake: How many errors per month does each Airbrake tier allow?
Tier 1 allows 25,000 errors per month at $19/month. Tier 2 allows 100,000 errors at $38/month. Tier 4 allows 300,000 errors at $129/month. Tier 5 allows 1 million errors at $299/month. Tier 6 allows 5 million errors at $799/month.
SourceAnaconda: Does Anaconda integrate with VS Code?
Yes. Anaconda environments can be activated in VS Code, and you can run Jupyter Notebooks directly. Both JupyterLab and conda can be managed through the VS Code Jupyter extension.
SourceAnaconda: What platforms does Anaconda support?
Anaconda runs on Windows, macOS, and Linux, with cloud-based deployment options. Anaconda Notebooks provides a cloud-based JupyterLab environment requiring no local installation.
SourceAnaconda: Do all PyPI packages work with Anaconda?
Not all PyPI packages are available through Anaconda's default conda repository. When a package is unavailable in conda, you can install it from conda-forge or pip as an alternative.
SourceRelated pages
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