Description
The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproducibility.
It provides a simple and robust data model to create a well-defined indexable storage layout for data and metadata.
This makes it easier to operate on large data spaces, streamlines post-processing and analysis and makes data collectively accessible.
signac alternatives and related packages
Based on the "Science and Data Analysis" category
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Numba
Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy. -
orange
Data mining, data visualization, analysis and machine learning through visual programming or Python scripting. -
Interactive Parallel Computing with IPython
Interactive Parallel Computing in Python -
bcbio-nextgen
A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis. -
PyDy
Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib. -
Open Babel
A chemical toolbox designed to speak the many languages of chemical data.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.
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