Description
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering. It includes modules for statistics, optimization,
integration, linear algebra, Fourier transforms, signal and image processing,
ODE solvers, and more. It is also the name of a very popular conference on
scientific programming with Python.
The SciPy library depends on NumPy, which provides convenient and fast
N-dimensional array manipulation. The SciPy library is built to work with
NumPy arrays, and provides many user-friendly and efficient numerical routines
such as routines for numerical integration and optimization. Together, they
run on all popular operating systems, are quick to install, and are free of
charge. NumPy and SciPy are easy to use, but powerful enough to be depended
upon by some of the world's leading scientists and engineers. If you need to
manipulate numbers on a computer and display or publish the results, give
SciPy a try!
SciPy alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view SciPy alternatives based on common mentions on social networks and blogs.
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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 -
statsmodels
Statsmodels: statistical modeling and econometrics in Python -
Biopython
Official git repository for Biopython (originally converted from CVS) -
Interactive Parallel Computing with IPython
IPython Parallel: Interactive Parallel Computing in Python -
Cubes
Light-weight Python OLAP framework for multi-dimensional data analysis -
bcbio-nextgen
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis -
Neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks -
PatZilla
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources. -
Kotori
A flexible data historian based on InfluxDB, Grafana, MQTT, and more. Free, open, simple. -
cclib
0.9 SciPy VS cclibA library for parsing and interpreting the results of computational chemistry packages. -
ElasticBatch
Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames -
dask-memusage
A low-impact profiler to figure out how much memory each task in Dask is using -
Open Babel
A chemical toolbox designed to speak the many languages of chemical data.
Access the most powerful time series database as a service
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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