Showing 17 open source projects for "python data analysis"

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  • 1
    Cython

    Cython

    The most widely used Python to C compiler

    ...Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. Integrate natively with existing code and data from legacy, low-level or high-performance libraries and applications. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.
    Downloads: 15 This Week
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  • 2

    Protocol Buffers

    Google's data interchange format

    Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more to come.
    Downloads: 22 This Week
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  • 3
    Numba

    Numba

    NumPy aware dynamic Python compiler using LLVM

    Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed.
    Downloads: 2 This Week
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  • 4
    Ring

    Ring

    Simple and flexible programming language for applications development

    The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is...
    Downloads: 8 This Week
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  • Dragonfly | An In-Memory Data Store without Limits Icon
    Dragonfly | An In-Memory Data Store without Limits

    Dragonfly Cloud is engineered to handle the heaviest data workloads with the strictest security requirements.

    Dragonfly is a drop-in Redis replacement that is designed for heavy data workloads running on modern cloud hardware. Migrate in less than a day and experience up to 25X the performance on half the infrastructure.
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  • 5
    RedtDec

    RedtDec

    RetDec is a retargetable machine-code decompiler based on LLVM

    ...Demangling of symbols from C++ binaries (GCC, MSVC, Borland). Reconstruction of functions, types, and high-level constructs. Output in two high-level languages: C and a Python-like language. Generation of call graphs, control-flow graphs, and various statistics. Detection and reconstruction of C++ class hierarchies (RTTI, vtables). Signature-based removal of statically linked library code. Static analysis of executable files with detailed information. We currently support Windows (7 or later), Linux, macOS, and (experimentally) FreeBSD. ...
    Downloads: 28 This Week
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  • 6
    M2SQL

    M2SQL

    Replicate your Mumps Globals into Relational Data Base

    M2SQL is a handy tool that permits to map your existing Mumps Globals in a relational Vision. The mapping process is simple and intuitive and is done only once. The Mapping process will describe the Mumps Globals data as a complex of Applications, Hierarchies, Relations and fields. Once mapping is completed you will able to replicate all the Mumps data into Target Relation database such as SQLITE or MYSQL. Normally you will do the replication process once a day while system is silent. This will give you a Relational Replication for Reporting or Business Analysis using industry standard tools. ...
    Downloads: 0 This Week
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  • 7
    gml4gtk

    gml4gtk

    small console GML or graphviz DOT graph viewer

    directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph
    Downloads: 0 This Week
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  • 8
    An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
    Downloads: 0 This Week
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  • 9
    GDL - GNU Data Language, a free IDL (Interactive Data Language, see http://ittvis.com/idl/) compatible incremental compiler.
    Downloads: 0 This Week
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  • Stigg | SaaS Monetization and Entitlements API Icon
    Stigg | SaaS Monetization and Entitlements API

    For developers in need of a tool to launch pricing plans faster and build better buying experiences

    A monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise.
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  • 10

    Python Embed C++

    Embed C++ in Python source code, dynamically compile and access data

    Moved to http://github.com/ftrias/pyembedc Python module to embed C/C++ code within Python source code and scripts. Automatically compile and dynamically link the code. Transparently allow native access to python data from C code and vice versa. Module provides all the "glue" to dynamically convert data types, arrays and structures.
    Downloads: 0 This Week
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  • 11
    ASN.1 library for Python
    ASN.1 types and codecs (BER, CER, DER) implementation in Python programming language. A collection of various ASN.1-based protocols data structures is supplied in a dedicated Python package. Project moved to GitHub: https://github.com/etingof/pyasn1
    Downloads: 4 This Week
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  • 12

    Iterative Flow Analysis

    Iterative Data and Control Flow Analysis

    https://github.com/jplevyak/ifa IFA, Iterative Flow Analysis is a combined data-flow and control flow analysis. It is capable of resolving the concrete types (as opposed to the nominal or declared types) and the interprocedural call graph for statically or dynamically typed programs.
    Downloads: 0 This Week
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  • 13
    PyInstaller

    PyInstaller

    Converts (packages) Python programs into stand-alone executables

    PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, AIX and Solaris. Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.3, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and uses the OS support to load the dynamic libraries, thus ensuring full compatibility.
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    Downloads: 74 This Week
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  • 14
    This project contains a set of tools for formal verification and static analysis of VHDL design.
    Downloads: 0 This Week
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  • 15
    The SrcML Framework allows converting Sourcecode to a XML representation on which tools can then be used to deduce statical data for analyzing and visualizing the initial source. It also provides easy ways to write programs which modify other programs.
    Downloads: 0 This Week
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  • 16
    A framework for data-flow based program analysis, implemented as a set of Java APIs. By using this framework, researchers and developers can easily implement analyses, test their correctness, and evaluate their performance. In addition, the framework all
    Downloads: 0 This Week
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  • 17
    What is a domain-specific language intended for constructing web services on top of ordinary web pages, or otherwise automate web-related tasks. Using a powerful pattern matching sublanguage, What strives to be for XML/HTML what Perl is for text analysis
    Downloads: 0 This Week
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