superduperdb VS best-of-ml-python

Compare superduperdb vs best-of-ml-python and see what are their differences.

superduperdb

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search. (by SuperDuperDB)
AI Machine Learning Mlops Sklearn Torch Transformers vector-database MongoDB Python Pytorch ML scikit-learn vector-search
Source Code
superduperdb.com
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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. (by ml-tooling)
Python Machine Learning Data Science NLP Data Visualization Tensorflow Pytorch scikit-learn Keras data-visualizations Deep Learning Automl ML Jax Transformer Data Analysis chatgpt Gpt gpt-3
Source Code
ml-python.best-of.org
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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superduperdb best-of-ml-python
24 16
4,390 15,633
3.2% 2.6%
9.9 7.8
5 days ago 6 days ago
Python Python
Apache License 2.0 Creative Commons Attribution Share Alike 4.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

superduperdb

Posts with mentions or reviews of superduperdb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing superduperdb and best-of-ml-python you can also consider the following projects:

ds2 - Easiest way to use AI models without coding (Web UI & API support)

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

nyc_traffic_flask - Flask App with leaflet.js that can perform NYC Traffic Prediction

dtale - Visualizer for pandas data structures

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

mlops-python-package - Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

scikit-learn-ts - Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

superduperdb vs ds2 best-of-ml-python vs Awesome-WAF superduperdb vs metaflow best-of-ml-python vs ktrain superduperdb vs nyc_traffic_flask best-of-ml-python vs dtale superduperdb vs Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials best-of-ml-python vs ffcv superduperdb vs mlops-python-package best-of-ml-python vs awesome-python superduperdb vs scikit-learn-ts best-of-ml-python vs kmodes