Effortless Data Science
The world's easiest to use toolkit for data science workflows and cluster orchestration. Sider is open source and runs fully on Kubernetes.
For production workflows
Sider can run tasks and comes preconfigured with cluster orchestration for Spark & Dask
Explore the different task types above
from sider.tasks import Task 
class Hello(Task):
	async def run(self):
		print("Hello world!")
# Run locally on Docker 
$ sider run hello

# Run on Kubernetes 
$ sider run hello --provider kubernetes

Get early access
For exploration
Start Jupyter Lab and an auto-scalable Spark or Dask cluster on Kubernetes.
$ sider run jupyter-dask --provider kubernetes

Your notebook is ready at:

Simplicity first

The worlds easiest to use orchestration toolkit. Get started in 5 minutes.

Cluster orchestration

Scale Spark and Dask workflows - choose CPU, GPU, RAM for your work nodes.

Runs in every cloud

Sider makes no assumptions of your storage or other infrastructure.
Made for you
Full control
Your dependencies are packed into Docker images. Images are stored in your Docker registry, which also runs in your cluster.
Best Practices
Sider follows sound engineering best practices. Manage, test and version control your code.
Sensible defaults. Fully configurable jobs, hardware & environment through industry standard yml.

Visualize Everything

Track job progress, logs and outputs in the Sider UI, which runs alongside your other containers, directly in your cluster.
Freedom & Simplicity
Choose your abstraction level
Sider Core
Open Source
Contact Backtick's consultancy team to get setup with Sider right now.
Sider UI
Contact for pricing
Visualizes your jobs, logs and outputs. A natural step to get organized.
Coming Soon
Sider Cloud
Contact for pricing
Scales with you. Stop worrying about hardware.
Coming Soon
Data science necessities,
Get started faster. Stop worrying about cluster orchestration. Make your team more productive. Try Sider today.
Data science is hard as it is
Don’t let infrastructure get in your way.
Get early access

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