Cloud Job Discovery Alternatives & Competitors

A database of 5,000+ jobs at the best tech startups.

Key Cloud 100 Jobs features:

Focused on Top Cloud Companies Niche Job Board High-Quality Employers Simple and Streamlined Interface

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

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source

Turn your data into actionable insights automatically. ELECTE creates visual reports and analytics dashboards for SMEs—no coding or data skills needed.

Key Electe features:

Connect your Data Analyze the Data Generate custom reports AI Agents

Try for free paid Free Trial €384.0 / Annually (Starter)

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Key machine-learning in Python features:

Ease of Use Rich Ecosystem Community Support Integration Capabilities

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

Key Amazon Forecast features:

Automated Machine Learning Integration with AWS Ecosystem Variety of Algorithms Scalability

Real-time personalization and recommendation engine in AWS.

Key AWS Personalize features:

Personalization Accuracy Easy Integration Scalability Real-time Recommendations

Open Source

python-recsys is a python library for implementing a recommender system.

Key python-recsys features:

Ease of Use Open Source Collaborative Filtering Integration

Open Source

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

Key XGBoost features:

Efficiency Scalability Regularization Flexibility

Open Source

WEKA is a set of powerful data mining tools that run on Java.

Key WEKA features:

User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

Key GoLearn features:

Ease of Use Integration with Go Active Community Basic Machine Learning Algorithms

Open Source

Develop machine learning models and scripts in Python and R for on-premises deployment behind the firewall. R Server, Python server, packages, and interpreters are included.

Crab is a Python framework for building recommender engines.

Key Crab features:

Ease of Use Flexibility Open Source Compatibility with Python

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

Key MLlib features:

Scalability Integration with Spark Ease of Use Rich Set of Algorithms

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.

Key Annoy features:

Fast Query Time Memory Efficient Built for Large Datasets Supports High-Dimensional Data