Open source isn’t a panacea for data or software quality but, as mentioned, open source data quality solutions can help to improve the processes associated with delivering quality.

Top data quality tools comparison. While the core functionality — collecting, ... As an open-source tool, OpenRefine is completely free to use. Visit OpenRefine. Features.

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia ...

The coolest open-source software tools in 2022 include the Apache Druid database, Apache Iceberg data analytics tool, Grafana observability software and TensorFlow machine learning platform.

However, there are variations of open-source models in which only certain parts of the software are free to use while the remainder requires a commercial license.

Superconductive — a startup best known for creating and maintaining the Great Expectations open source data quality tool — has raised $40 million in a Series B round of funding. It will be ...

The tool was made available to anyone via open source license last November, and now it’s getting some key updates that should help make it more useful to external teams and individuals looking ...

Best for Data Integration. Talend is an open-source data integration platform that provides many data integration solutions to help businesses connect, access, and analyze data from over 140 data ...

Top challenges with open source software include the following: Maintaining security policies and compliance: 42%. Lack of skills, experience, or proficiency: 38%.

Here’s a look at 10 open-source software tools – including software for building AI applications or managing huge volumes of data – that are already widely used or are gaining in popularity.