Showing 8 open source projects for "python language"

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  • 1
    pandas

    pandas

    Fast, flexible and powerful Python data analysis toolkit

    pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase.
    Downloads: 95 This Week
    Last Update:
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  • 2
    Wooey

    Wooey

    A Django app that creates automatic web UIs for Python scripts

    ...Enable the easy wrapping of any program in simple python instead of having to use language specific to existing tools such as Galaxy. Enable fellow lab members with no command line experience to utilize python scripts. Autodocument workflows for data analysis (simple model saving).
    Downloads: 0 This Week
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  • 3
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,...
    Downloads: 0 This Week
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  • 4
    Python(x, y)

    Python(x, y)

    Scientific-oriented Python Distribution based on Qt and Spyder

    Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment.
    Downloads: 26 This Week
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  • 5

    PRADA

    PRADA : Pipeline for RNA-Sequencing Data Analysis

    Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify...
    Downloads: 0 This Week
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  • 6

    TrollEditor

    Editor of virtual worlds.

    ...It is based on Ogre3D (graphics engine), Bullet (physics engine), PhysX (physics engine), OpenAL (3D sound and music), OpenCV (image analysis and camera model) and Boost (threading and python binding). It uses Python for scripting, as well as built in simple scripting language. Some features: - built in multiplayer - incorporating data from different sensors (IMU, AHRS, Razer Hydra) - image server/client - built in support for motion capture data analysis - path finding using data from physics engine (backwave propagation algorithm) - built in XML parser - graphical world editor - plugins system (C++)
    Downloads: 0 This Week
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  • 7

    Larch: Data Analysis for X-ray Spectra

    Data Processing and Analysis for X-ray Spectroscopy and More

    ...Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).
    Downloads: 0 This Week
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  • 8
    jHepWork

    jHepWork

    jHepWork was a name of the DataMelt program in 2005-20013

    jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org)
    Downloads: 1 This Week
    Last Update:
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