What is KNIME?
It is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept.
KNIME is a tool in the Data Science Tools category of a tech stack.
Who uses KNIME?
Companies
5 companies reportedly use KNIME in their tech stacks, including Data-Driven Services, CVC corp, and Analytiqum.
Developers
40 developers on StackShare have stated that they use KNIME.
KNIME Integrations
Python, TensorFlow, Apache Spark, R Language, and Keras are some of the popular tools that integrate with KNIME. Here's a list of all 8 tools that integrate with KNIME.
KNIME's Features
- Access, merge, and transform all of your data
- Make sense of your data with the tools you choose
- Support enterprise-wide data science practices
- Leverage insights gained from your data
KNIME Alternatives & Comparisons
What are some alternatives to KNIME?
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
PySpark
It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
