Azimutt
DrawSQL
DBDiagram.io
TablePlus
ChartDB
Supabase
LucidChart
draw.io
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
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Azure Machine Learning Studio
If you are looking to explore and understand your database (relational or document), Azimutt is the tool you need. It's the first entity relationship diagram built to handle big database schema (up to 1000 tables) with dedicated features: search, find path and even schema analysis to keep it consistent.
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Azimutt's answer
Azimutt is mainly targeted at developers working with databases, allowing them to easily explore and understand them by either importing the schema or connecting to a live instance.
As it's quite easy to use, we have seen other profile such as product owners, engineering managers and even CFOs using it to better understand the product they build or extract meaningful data on their own ^^
Azimutt's answer
Early 2021 I joined Doctolib, a health startup very successful in France, and discovered their big Ruby on Rails monolith backed by a large PostgreSQL database with more than 700 business tables (more then 1300 in total). As an architect I worked with several teams and needed to understand their models but neither Ruby, Rails or the structure.sql were very helpful for such a big app. So I looked for a tool but they all failed with such a large database, so after a few month and tens of tools tested, I decided to build my own: Azimutt. Now it has evolved a lot and we are still very active to enable new usages every months. I believe it's a solid product and quite unique โค๏ธ
Azimutt's answer
From development languages, Azimutt is built with Elm/TypeScript for the frontend, Elixir/Phoenix for the backend and PostgreSQL/S3 as storage.
Azimutt's answer
It's the only ERD able to handle databases with many tables (>1000) nicely thanks to unique features:
It's also very unique in the sense it's made to explore and understand real world databases, from development to production with larges features:
Thousands of developers already love it, give it a try, we have several samples you can try right away!
Azimutt's answer
Azimutt is the all-in-one app to explore real world databases. If you look for very specialized features some competitors may be more suited, but if you want a versatile app to explore and understand your database, we believe no competitor come close to us.
Azimutt's answer
Azimutt is used at Doctolib (3000 people company) and some other french scale ups I can't disclose yet.
Based on our record, TensorFlow should be more popular than Azimutt. It has been mentiond 8 times since March 2021. 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.
Not mine but someone showed me this : https://azimutt.app/. - Source: Hacker News / almost 2 years ago
I just want to get a basic overview quickly. An old colleague of mine created an interactive web app that does this. We use it internally and I find it super useful. Supports SQLite, among others: https://azimutt.app/. - Source: Hacker News / over 2 years ago
Hello Dev.to community, I'm Sam, a proud part of a dedicated trio that built Azimutt.app. - Source: dev.to / about 3 years ago
A couple of options here: - From a database. Generate ERD by connecting to your database directly. I've used this as a quick way to generate a diagram from my local or even QA DB (not prod DB for obvious security reasons). - From a schema dump file. Take a pg dump and then generate an ERD from the dump file. There are ERD tools like dbdaddy.dev and azimutt.app that support these options. Source: over 3 years ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
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