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Based on our record, Jupyter seems to be a lot more popular than PopSQL. While we know about 205 links to Jupyter, we've tracked only 5 mentions of PopSQL. 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.
PopSQL (YC S19) | Head of Engineering, Product Engineers | San Francisco or Remote | https://popsql.com PopSQL is a collaborative SQL editor for teams. It's like Figma, but for data teams. We just raised a $14m Series A[1] and it's time to scale engineering like crazy from 3 to 15+ We need a Head of Engineering[2] to help us with that, and we need product engineers[3] that want to build delightful products like... - Source: Hacker News / about 2 years ago
Couple of tools not yet mentioned: PopSql - https://popsql.com Trevor - https://trevor.io. - Source: Hacker News / about 2 years ago
PopSQL (YC S19) | Founding Engineers, Head of Engineering | REMOTE | https://popsql.com Hi HN, I'm the founder of PopSQL, a collaborative SQL editor for teams. Our mission is to help teams collaborate using data. We graduated from Y Combinator in 2019, raised a seed round from Google's AI fund, and have an impressive list of customers[1] with a small but mighty team. I'm looking for founding engineers[2] that want... - Source: Hacker News / about 3 years ago
Copying from an earlier comment of mine, as it might be useful. Competition: - DataGrip ($89 first year, $71 second year, $53/year after that, Clunky, Powerful) - TablePlus ($50, Pretty, Useful) - DBeaver (Free version, Clunky, Powerful) - SQuirrel (Free, Clunky, Usable) - Heidi (Free, Clunky, Usable) - Postico ($40, Pretty, Mac + Postgres only) - http://sequeljoe.ohwg.net (Free, beta) - Azure (Free, Pretty, SQL... - Source: Hacker News / about 3 years ago
PopSQL (YC S19) | Head of Engineering | REMOTE | https://popsql.com Hi HN, I'm the founder of PopSQL, a collaborative SQL editor for teams. We just had our best month ever at PopSQL, and it's time for us to hire a Head of Engineering to own the function. The ideal candidate is hands on enough that they can spend 50% of their time contributing to our Rails and React code, and the rest of their time leading a high... - Source: Hacker News / about 3 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 / 14 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 25 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 / 20 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
DataGrip - Tool for SQL and databases
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.
Navicat - Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
DBeaver - DBeaver - Universal Database Manager and SQL Client.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.