DoltHub VS Colaboratory
Compare DoltHub VS Colaboratory and see what are their differences
B2B SaaS: Make your app enterprise-ready!
Authentication - SAML/OIDC SSO, Directory Sync (SCIM 2.0), Audit Logs, Data Privacy Vault, and more!
featured
DoltHub
Activeloop
Pachyderm
Iterative.ai
DVC
Kaggle
Weights & Biases
GitHub
Colaboratory
Jupyter
Kaggle
replit
Numerai
Explorium
Infosec Skills
Crowd AnalytiX
DoltHub ColaboratoryBased on our record, Colaboratory seems to be a lot more popular than DoltHub. While we know about 208 links to Colaboratory, we've tracked only 6 mentions of DoltHub. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are other ways to share this data other than CSVs on GitHub. Kaggle has been mentioned here in the past. There's also dolthub.com where you can make the data available as a SQL queryable dataset. It's "Git for data". Might be nice to host it somewhere where answers to questions like "what was SPY's closing price on 2010-01-27" can be more easily obtained. Source: about 1 year ago
The database world has been slow to follow. But it is getting there, TerminusDB is one database with version control features. There are others like Dolt, Planetscale, and Liquibase that extend the functionality of other databases. - Source: dev.to / about 2 years ago
Why not share the data with something like dolthub.com ? They have stock price, option price, and earnings databases. Source: over 2 years ago
Most of the data on dolthub.com is Creative Commons licensed so use it as you'd like. Source: over 2 years ago
Just looked up dolthub.com, what does it do exactly? Source: over 2 years ago
Google Colab - Free Jupyter Notebooks development environment. - Source: dev.to / 3 months ago
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab. - Source: dev.to / 5 months ago
Please head over to the Google Colab. - Source: dev.to / 5 months ago
But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free. Source: 5 months ago
Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals. - Source: dev.to / 7 months ago
Activeloop - Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Kaggle - Kaggle offers innovative business results and solutions to companies.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.