DoltHub
Activeloop
Pachyderm
Iterative.ai
DVC
Kaggle
Weights & Biases
GitHub
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
DoltHub JupyterBased on our record, Jupyter seems to be a lot more popular than DoltHub. While we know about 205 links to Jupyter, 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
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 17 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 28 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 23 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
Activeloop - Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
