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API StatusChangelog
Deepnote
ByKatieKatie

Deepnote

#29in Development & Training Tools
Stacks53Discussions1
Followers67
OverviewDiscussions1

What is Deepnote?

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.

Deepnote is a tool in the Development & Training Tools category of a tech stack.

Key Features

Real-time collaborationSharingCommentsCode reviewVariable explorer, AutocompletionCommand paletteKeyboard shortcuts

Deepnote Pros & Cons

Pros of Deepnote

  • ✓Fully managed notebook
  • ✓GitHub / Gitlab integration
  • ✓Real-time collaboration
  • ✓Browser based
  • ✓Cloud-based

Cons of Deepnote

No cons listed yet.

Deepnote Alternatives & Comparisons

What are some alternatives to Deepnote?

Jupyter

Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

Apache Zeppelin

Apache Zeppelin

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Google Colaboratory

Google Colaboratory

It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.

SageMath

SageMath

It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.

Polynote

Polynote

It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

Franchise

Franchise

Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.

Deepnote Discussions

Discover why developers choose Deepnote. Read real-world technical decisions and stack choices from the StackShare community.

Jan Vlnas
Jan Vlnas

Senior Software Engineer

Oct 6, 2022

Needs adviceonOpenRefineOpenRefineJupyterJupyterDatabricksDatabricks

From my point of view, both OpenRefine and Apache Hive serve completely different purposes. OpenRefine is intended for interactive cleaning of messy data locally. You could work with their libraries to use some of OpenRefine features as part of your data pipeline (there are pointers in FAQ), but OpenRefine in general is intended for a single-user local operation.

I can't recommend a particular alternative without better understanding of your use case. But if you are looking for an interactive tool to work with big data at scale, take a look at notebook environments like Jupyter, Databricks, or Deepnote. If you are building a data processing pipeline, consider also Apache Spark.

Edit: Fixed references from Hadoop to Hive, which is actually closer to Spark.

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Deepnote Integrations

MongoDB, GitHub, Amazon Redshift, Google BigQuery, Snowflake and 3 more are some of the popular tools that integrate with Deepnote. Here's a list of all 8 tools that integrate with Deepnote.

MongoDB
MongoDB
GitHub
GitHub
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Snowflake
Snowflake
GitLab
GitLab
ClickHouse Cloud
ClickHouse Cloud
Supabase
Supabase

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