Software Alternatives, Accelerators & Startups

Metabase VS TensorFlow

Compare Metabase VS TensorFlow and see what are their differences

Metabase logo Metabase

Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Metabase Landing page
    Landing page //
    2023-04-25
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Metabase videos

Metabase is a free, self hosted, open source data analytics platform that keeps using it simple.

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Metabase and TensorFlow)
Business Intelligence
100 100%
0% 0
Data Science And Machine Learning
Data Dashboard
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Metabase and TensorFlow

Metabase Reviews

Top 11 Grafana Alternatives & Competitors [2024]
Metabase is tailored for exploring and querying structured data within databases. It empowers users with an intuitive interface to effortlessly create and share interactive dashboards, facilitating seamless data exploration. One of its notable advantages is the accessibility it offers to non-technical users, granting them the ability to create their own charts without...
Source: signoz.io
Embedded analytics in B2B SaaS: A comparison
Similar to Holistics also Metabase is a BI tool at its core. It however feels nothing like Looker and has a unique feel to it. It felt quite intuitive how its set-up but there’s still quite a steep learning curve, even for a well-seasoned data professional. Also Metabase offers an iFrame implementation for embedding. An added advantage of Metabase is that they are...
Source: medium.com
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Metabase is a business intelligence software suite allowing you to ask questions about your data without complicated code and jargon and lets professionals visualize their business data accurately.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Small businesses and startups with limited resources that need to answer simple queries will find Metabase, Tableau, and PowerBI suitable for their needs. However, if you have an in-house data team dedicated to the project, you might find open-source software like Redash and Metabase (open-source version) beneficial. And if you have the team, time, and money, Looker or...
Source: trevor.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
Tableau Open Source alternatives are typically free, making them appealing to freelancers and small businesses. However, even Business Intelligence tools with a commercial component, such as Metabase, are less expensive on average. Metabase is very similar to Tableau in the sense that it is a Data Analytics tool that is accessible to both tech-savvy and non-tech-savvy users....
Source: hevodata.com

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, Metabase should be more popular than TensorFlow. It has been mentiond 14 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.

Metabase mentions (14)

  • Is Tableau Dead?
    I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us. - Source: Hacker News / 3 months ago
  • Ask HN: Open-Source Self-Hosted No-Code Platforms?
    The solution really depends on what sort of problems you are trying to solve and who your customers are. There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/ For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience).... - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (December 2022)
    Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers. - Source: Hacker News / over 1 year ago
  • Make Better Decisions the Easy Way: Deploy Metabase with Azure Container Apps
    With a few simple steps, you can deploy Metabase on Microsoft Azure using Azure Container Apps. This process works for any Docker container hosted on Docker Hub, not just Metabase, so you can try it with your containers. - Source: dev.to / almost 2 years ago
  • Integration/extension/plugin system in Nodejs
    Try metabase.com its built with node and uses plugins. Source: almost 2 years ago
View more

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    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 1 year ago
  • Need help with a Tensorflow function
    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: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    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 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
View more

What are some alternatives?

When comparing Metabase and TensorFlow, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.