Personal
Free
Personal accounts
0
- For personal projects only. Corporate use not allowed, must use Starter or Enterprise plans.
- Unlimited experiments
- Unlimited tracked hours*
- 100 GB storage and artifacts tracking included. For additional storage, see pricing.
Teams
$50 / mo + usage
Per user, billed annually
First 250 tracked hours* free
- 5,000 annual tracked hours* included. Additional hours billed at $1/hour
- Up to 10 seats
- Unlimited teams for collaboration
- 100 GB storage and artifacts tracking included. For additional storage, see pricing.
Enterprise
Custom plans available
0
- Flexible deployment options
- Unlimited tracked hours* tracked
- Secure storage connector
- Dedicated Machine Learning Engineer & CSM to ensure success
- Dedicated support channel
- Support SLA
- Custom storage plan
- Single sign on
- Service account for CI workflows
Personal
Free
Personal accounts
1 pip install wandb
2 wandb server start
2 wandb server start
Try now with two lines of code!
- For personal projects only. Corporate use not allowed.
- Unlimited experiments
- Unlimited tracked hours*
- 100 GB storage and artifacts tracking included. For additional storage, see prices
- Run a W&B server locally on any machine with Docker and Python installed
Enterprise
Custom plans available
1 pip install wandb
2 wandb server start
2 wandb server start
Try now with two lines of code & a free Enterprise Trial license
- Flexible deployment options
- Unlimited tracked hours* tracked
- Secure storage connector
- Dedicated Technical Account Manager to ensure success
- Dedicated support channel
- Support SLA
- Custom storage plan
- Service account for CI workflows
- Run a W&B server locally on your own infrastructure with a free enterprise trial license
*What is a tracked hour?: A tracked hour is wall-clock time when training a model. If your model takes 8 hours to train, you have used 8 tracked hours. Today, this is irrespective of GPU quality, speed, etc. Cumulative tracked hours counted per organization.
Academic research teams
Use W&B to coordinate projects remotely, like Google Drive for machine learning.
Managed W&B Private Cloud
Need HIPAA compliance, or have data that can’t leave your system? Install W&B locally, on your own servers.
Why use Weights & Biases?
1
Automatic Tracking
Tired of pasting results into a spreadsheet? Track models automatically.
2
Model Debugging
Debug model issues quickly with logs, charts, and tables of tracked results.
3
Collaboration
Quickly share findings and discuss model results with your team.
4
Reproducibility
Use W&B’s reliable system of record to make all models reproducible.
Proudly supporting 500,000+ ML practitioners at 800+ companies and institutions
Compare plans
Dashboard: Experiment tracking
Hosting and installation
- SaaS available
Log data to W&B from any machine, and visualize all the results in a central, hosted cloud dashboard
Private Cloud available
ML project management
Public projects
Private projects
Data retention
Unlimited
Unlimited
Unlimited
Team management
Collaborative teams
1
1
Unlimited
Team members
1
10
Unlimited
Tracked hours
Unlimited
5000
Unlimited
Service account
Single sign on
Artifacts: Data versioning
Dataset versioning
Interactive directed graphs
Queryable tables for predictions
Sweeps: Hyperparameter optimization
Advanced sweeps dashboards
Hyperparameter searches
Lineage and Tracking
You have complete control of what is logged in W&B. You can curate and delete data from the system at any time. Storage represents the hosting costs of files saved to W&B servers. Artifacts are files tracked with artifacts for reproducibility.
Storage Pricing
First 100 GB of Storage is free, with additional usage at $0.03 per GB, billed monthly. Artifacts use is included for free!
Custom plans available.
Key Values
of
Weights & Biases
How our lightweight, interoperable tools empower your ML team
Reliable, automatic experiment tracking
Develop better models faster
Enable faster model development
Use the single, central system of record to save all the relevant metadata for your models automatically, so you can focus on model training. Spend more time in a flow state.
Modular, interoperable solutions
Pick the tools that solve your problems best. With W&B, you’re not locked in to an end-to-end platform. We pride ourselves on making our tools play well with other systems.
Stay focused on the hard problems
Spend more time in a flow state, and less time doing tedious tracking. With W&B, you can focus on the hard machine learning problems, and let us take care of tracking all the details to make the models reproducible.
Key insights from team management
- How are the latest experiments doing, compared to previous model versions?
- Is this model running out of GPU memory? What are the system bottlenecks?
- How does this hyperparameter affect accuracy across different classes?
- What do sample predictions look like from this model?
Persistent knowledge base
Capture valuable insights centrally
Every time you run a new experiment, W&B captures the changes you made and gives you a place to jot down notes. Quickly compare your latest results with previous baselines.
Automatically track the exact version of the code, hyperparameters, and even the dataset your model trained on. Trace back exactly where your resulting models came from.
Annotate findings inside the central W&B system, so your models can speak for themselves. Use interactive notes, comments, and reports to clearly explain your research.
- Where are all the model files stored for this project?
- What have we tried already, and what avenues should we explore next for improving this model?
- What are the key findings from this research?
Machine learning team management
Move quickly on big projects, and make handoffs seamless
Use the single, central system of record to save all the relevant metadata for your models automatically, so you can focus on model training. Spend more time in a flow state.Train on whatever compute is available – AWS, GCP, Azure, or the GPU box in the office. All results are organized in a central place.
Pick the tools that solve your problems best. With W&B, you’re not locked in to an end-to-end platform. We pride ourselves on making our tools play well with other systems.
Spend more time in a flow state, and less time doing tedious tracking. With W&B, you can focus on the hard machine learning problems, and let us take care of tracking all the details to make the models reproducible.
- How should new team members get started contributing to this ML project?
- When someone leaves the team, how is their research saved and communicated?
- How are all our projects doing, across the organization? Are any particular projects roadblocked or stuck? Are certain projects performing better than expected?
Production model lineage
Version and track every artifact in your model pipeline
Know where a model comes from end to end, and what is running where.
- Reliably capture all changes to the data you’re using to train your models.
- Save datasets in any system: GCP, AWS, Azure, or even uploaded directly to W&B servers.
- Clearly identify what downstream steps in your pipeline were affected by a change in data.
- Capture all of your trained models in one central system.
- Maintain a clear picture of all the data, preprocessing, and evaluation that was done on each model.
- Trace back the lineage of any production model to the exact code and data that it was trained on.
- What data was this production model trained on?
- How did relabeling a chunk of data affect the accuracy of this model?
- This data was corrupted — what downstream models were affected by this issue?
- How did changing this preprocessing step affect model accuracy?