Top 10 Data Science Software to Lookout for in 2023 and Beyond

Data has emerged to become the most  valuable resource. Data science has enabled the businesses to better understand their customers and meet business objectives. Data is vast, complex and is increasing exponentially. Thus the requirement of tools and software to process the data to be able to make insightful decisions is always prominent. To make it easier for you, we have come up with a list of top 10 data science software to lookout for in 2023 and beyond. Have a look!

Keras

Keras is quite a popular programming interface that enables data scientists to easily access and use machine learning platform. What makes this data science software stand apart from the rest is the fact that it is an open-source deep learning API and framework that is written in Python.

Integrate.io

Now, this is a software that requires a special mention for the reason that it brings all data sources together. It is a data integration, ETL, and an ELT platform that can bring all your data sources together. This is just the right software you need to build data pipelines.

Tensorflow

Who isn't aware of Tensorflow? This data science software lays emphasis on deep learning,  is launched by Google and is written in C++ and Python. Wondering what's so special about Tensorflow? Well, here is the answer – its capabilities include ML model building either on-premise, on the cloud, in-browser, or on-model.

Alteryx

Alteryx was launched in 2015 by MIT data science researchers, and since then it has evolved to become a proprietary software platform. One of the major reasons as to why businesses rely on it is the fact that its most popular open-source tool, "featuretools," allows creation of automated feature engineering.

Data Robot

If you are looking for a platform that aims at automated machine learning, then Data Robot is all that you need. In addition to providing an easy deployment process, it allows parallel processing and model optimization. It is because of this reason that this data science software is used by data scientists, executives, software engineers, and IT professionals.

Trifacta Wrangler

Trifacta Wrangler is an excellent data science software that you really cannot miss out on as it will help you in exploring, transforming, cleaning, and joining the desktop files together. How amazing is that?

KNIME

This data science software is no less than a blessing as it enables the data scientists to blend tools and data types. This open-source platform allows users to use the tools of their choice. Not just that – they can expand them with additional capabilities.

Apache Spark

Looking for an open-source data processing and analytics engine that handles large amounts of data? Well, Apache Spark is all that you need. Its ability to rapidly process data has led to a significant growth in the use of the platform.

Python

Python has gained wide recognition as it comes with a large standard library. This high-level programming language has the features of object-oriented, functional, procedural, dynamic type, and automatic memory management. The fact that Python is extensible makes it way more accepted.

RapidMiner

This is an excellent open-source data science tool that boasts of a self-explanatory drag-and-drop application which is why it forms a part of top 10 data science software to lookout for in 2023 and beyond.