Improve your teamwork without changing the way you do things now
Data Scientist: collaborate on experiments easily
Have every piece of every experiment or notebook of every teammate in one place
You can execute experiment code on your laptop, cloud environment, or a cluster and every information will be logged to the central storage hosted by us or deployed on-premises. Works out-of-the-box with Python, R, Jupyter notebooks, and other languages and environments.
import neptune
neptune.init('MyProject')
neptune.create_experiment('my-experiment')
# your model training and evaluation
See ML experiments your teammates run
Check out experiments that others are running, compare them, and discuss with your teammates.
See and download notebooks that your teammates are creating
Explore notebook checkpoints that your team logged, find the checkpoint that you want to work on, and download it directly into your Jupyter Notebook or Jupyter Lab.
Share anything you want with a link
Want to discuss what you are seeing right now in the application? Just share a link, it’s that simple. Experiment details, comparisons, dashboard views, or anything else!
Developer: access models and results programmatically
Have a central registry for the models, experiments, and notebooks
You can have all your model versions with code, parameters, and model binaries for every model training run in one place. Code, parameters, and model binaries are logged for every experiment so that you can re-produce, re-train, and deploy them in production.
Find and fetch everything you need programmatically
Everything that your team logs to Neptune is automatically accessible to every team member. You can access experiments or notebooks via the code, parameters, model binary, or other objects via an API.
import neptune
project = neptune.init('MyProject')
experiment = project.get_experiments(id='PRO-332')[0]
experiment.get_parameters()
experiment.download_artifact('model.pkl')
experiment.download_source()
Team Leader: see the progress of your team
See what your team is doing, any time, anywhere without logging to a remote server
You don’t have to log to your workstation to see what is going on.
See all your team’s activity with experiments, metrics, notebooks, and any other information on your desktop or mobile device.
import neptune
project = neptune.init('MyProject')
experiment = project.get_experiments(id='PRO-332')[0]
experiment.get_parameters()
experiment.download_artifact('model.pkl')
experiment.download_source()
Find the information that you want to check quickly
You don’t have to log to your workstation to see what is going on.
See all your team’s activity with experiments, metrics, notebooks, and any other information on your desktop or mobile device.
Save dashboard or experiment views for later and link to them from other tools
Search, filter, and compare experiments in the dashboard. Find out which ideas people are working on and what is bringing results. Create and save dashboard views based on tasks, people, or results and link to them from other tools that you are using (looking at you Jira).
Thousands of Data Scientists already have their ML experimentation in order.
When will you?
✓ Sign up for a free account
✓ Add a few lines to you code
✓ Get back to running your experiments