Description
Current neuroimaging software offer users an incredible opportunity to analyze data using a variety of different algorithms. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface.
NIPY alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view NIPY 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 NIPY 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.
Write Clean Python Code. Always.
* 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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