Machine Learning & Data Science · head to head
Seldon vs Anaconda
Seldon
Machine Learning & Data Science
Deploy, scale, and monitor machine learning models
- From
- Free
- Rated
- -
Anaconda
Machine Learning & Data Science
The world's most popular data science platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Seldon production deployment requires a Kubernetes cluster, whether managed such as GKE, EKS or AKS, or on-premises such as OpenShift; Anaconda dependency resolution slower than pip due to SAT solver complexity
- They diverge on capability: Seldon covers Model serving, Anaconda covers Conda package manager.
Where they differ
Only the attributes on which Seldon and Anaconda actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Seldon
- Model serving
- A/B testing
- Canary deployments
- Outlier detection
- Model explainability
- Kubernetes
- Istio
- Prometheus
Only in Anaconda
- Conda package manager
- Environment management
- 1500+ packages
- Navigator GUI
- Cross-platform support
- Jupyter
- VS Code
- PyCharm
Both cover
- Linux support
What people use each for
The jobs each tool is most often brought in to do.
Seldon
- Serving and routing machine learning models on Kubernetesnot Anaconda
- Building multi-step inference pipelines with A/B tests and explainersnot Anaconda
Anaconda
- Machine learningnot Seldon
- Data analysisnot Seldon
- Model trainingnot Seldon
- Predictive analyticsnot Seldon
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Seldon
- Production deployment requires a Kubernetes cluster, whether managed such as GKE, EKS or AKS, or on-premises such as OpenShift
- The documented components carry both minimum and maximum supported versions, so newer Kubernetes and dependency versions are not automatically supported
- Dataflow Pipelines need an additional component that the docs recommend avoiding installing when pipelines are not used
- The Docker Compose install is offered as a lightweight alternative for environments without Kubernetes rather than as a production path
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
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
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 Seldon if
- You need model serving.
- You want to start without paying.
- You work on Linux.
- You also want a/b testing.
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 Seldon or Anaconda better?
- Neither clearly leads. Seldon 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, Seldon or Anaconda?
- Seldon starts at Free and Anaconda at Free.
- Does Seldon or Anaconda run on more platforms?
- Seldon runs on Linux. Anaconda runs on Windows, macOS, Linux, Web/Cloud.
- Can I use Seldon for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Seldon best used for?
- Seldon is most often used for serving and routing machine learning models on kubernetes, building multi-step inference pipelines with a/b tests and explainers. Of those, serving and routing machine learning models on kubernetes and building multi-step inference pipelines with a/b tests and explainers are not what Anaconda is typically brought in for.
- What can Seldon do that Anaconda cannot?
- Seldon covers Model serving, A/B testing, Canary deployments, Outlier detection. Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. Both handle Linux support.
Answered from the vendors’ own pages
Anaconda: 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.
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.
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.
Source