
Supabase
Firebase
AppWrite
Next.js
Vercel
PocketBase.io
Hasura
Railway
Exploratory
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
Supabase
ExploratoryExploratory is recommended for business analysts, data analysts, academic researchers, and any professionals who need to perform data analysis but may not have an extensive programming background. Its intuitive design makes it a good fit for users looking to conduct in-depth data exploration without needing to write extensive code.
Based on our record, Supabase seems to be a lot more popular than Exploratory. While we know about 554 links to Supabase, we've tracked only 6 mentions of Exploratory. 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.
Opus, zero nudges. Realised on its own that an abandoned signup never fires identify, triangulated the anonymous session from time, platform and registration events, decoded the PostHog replay blobs, confirmed the duplicate account in Supabase, proved the reset email never sent, and pulled the root cause out of an unmasked DOM field. One prompt in; root cause out. - Source: dev.to / 20 days ago
Supabase is an open-source backend platform built around managed PostgreSQL. You get a database, auto-generated REST APIs (via PostgREST), Auth, file Storage, Realtime subscriptions, and Edge Functions - with a dashboard and SQL editor on top. - Source: dev.to / about 2 months ago
If youโre starting fresh, go to Supabase and create a new project. Once your project is ready, copy the project URL and publishable (anon) key from the project settings. - Source: dev.to / 2 months ago
So I had to discover that and fix that, and start leaning on our database (Supabase is what Lovable uses by default). - Source: dev.to / 2 months ago
Verdict: start with Supabase on day one. Free tier carries you through launch. Upgrade to Pro when you legitimately outgrow it. - Source: dev.to / 2 months ago
I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / almost 4 years ago
If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / about 4 years ago
Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / over 4 years ago
I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: over 4 years ago
I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 4 years ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Next.js - A small framework for server-rendered universal JavaScript apps
NumPy - NumPy is the fundamental package for scientific computing with Python