PostGraphQL
React.run
graphql-yoga
Observable
React Admin
Parse
node-http-proxy
Nhost
Jupyter
Looker
Google BigQuery
Databricks
Presto DB
Rakam
Informatica
Concurrent
PostGraphQL JupyterNo PostGraphQL videos yet. You could help us improve this page by suggesting one.
Based on our record, Jupyter seems to be a lot more popular than PostGraphQL. While we know about 206 links to Jupyter, we've tracked only 10 mentions of PostGraphQL. 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.
If you point is to abstract all the CRUD/GraphQL application, Go isn’t needed. You can go with PostgREST or Postgraphile. Source: over 1 year ago
What do you mean locally? Hasura is OSS, and you can run it locally (you have autogenerated SQL statements) Here you can just use Nhost and its CLI; Alternatives are https://github.com/graphile/postgraphile or dgraph as you mentioned. Hasura is working on support for sqlite, so you may have some blockers there, you can also look into the Prisma engine which has GQL as an intermediate (for resolvers, for example). - Source: Hacker News / over 1 year ago
I've personally found Postgraphile to be fantastic. Nicer to use than Hasura and fully OSS: https://github.com/graphile/postgraphile/. - Source: Hacker News / about 2 years ago
Hi all, this sounds very cool. How does pg_graphql compare to Postgraphile? https://github.com/graphile/postgraphile (besides I guess running in the DB with PLpgSQL instead of as a NodeJS server) Did you think about integrating Postgraphile with the Supabase ecosystem or have specific limitations with it? Thanks! - Source: Hacker News / about 2 years ago
If you’re open to learning Postgres, I’d recommend postgraphile (https://github.com/graphile/postgraphile). Been using it for the past 2.5 years and only have good things to say. Source: over 2 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 29 days 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 / about 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months 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 / about 2 months 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 / 3 months ago
React.run - Quick in-browser prototyping for React Components!
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.
graphql-yoga - 🧘 Fully-featured GraphQL Server with focus on easy setup, performance & great developer experience - prisma-labs/graphql-yoga
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Observable - Interactive code examples/posts
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?