Showing 3561 open source projects for "pam-python"

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  • Automate contact and company data extraction Icon
    Automate contact and company data extraction

    Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.

    Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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  • 1
    jsondata

    jsondata

    Modular JSON by trees and branches, pointers and patches

    The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics. - JSON Relative Pointer -...
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  • 2
    pyfilesysobjects

    pyfilesysobjects

    Search and match of file type resource paths and addresses

    The 'filesysobjects' package provides cross-platform-utilities for path addresses of file like resources. This includes the search and navigation features on file system structures with the application of regular expressions for pathnames intermixed with globs. - filesysobjects - constants - filesysobjects.apppaths - application resource path processing - filesysobjects.paths - file systems path processing - filesysobjects.pathtools - search, enumeration, and iteration...
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  • 3
    iSCSIsim is a powerful generic test tool for iSCSI targets. Its capabilities include SCSI command injection, error insertion, and recovery testing: all with built-in validation of test results.
    Downloads: 1 This Week
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  • 4
    vimpyter

    vimpyter

    Edit your Jupyter notebooks in Vim/Neovim

    Input/output cells are displayed using a custom syntax file and folding. See your edits by starting Jupyter Notebook/Nteract application with a single command/mapping (just remember to save your modifications). You may have to reload the browser page/app to see the effects.
    Downloads: 0 This Week
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  • Free and Open Source HR Software Icon
    Free and Open Source HR Software

    OrangeHRM provides a world-class HRIS experience and offers everything you and your team need to be that HR hero you know that you are.

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  • 5
    CSBB-v3.0

    CSBB-v3.0

    CSBB - Computational Suite for Bioinformaticians and Biologists

    CSBB is a command line-based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R, java, python and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX. Currently CSBB provides 18 modules focused on analytical tasks like performing upper-quantile normalization, interactive visualization and next generation sequencing pipelines. ...
    Downloads: 2 This Week
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  • 6
    QuickFIX
    QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
    Downloads: 24 This Week
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  • 7
    TextTeaser

    TextTeaser

    TextTeaser is an automatic summarization algorithm

    textteaser is an automatic text summarization algorithm implemented in Python. It extracts the most important sentences from an article to generate concise summaries that retain the core meaning of the original text. The algorithm uses features such as sentence length, keyword frequency, and position within the document to determine which sentences are most relevant. By combining these features with a simple scoring mechanism, it produces summaries that are both readable and informative. ...
    Downloads: 1 This Week
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  • 8
    Pyrlang

    Pyrlang

    Erlang node implemented in Python 3.5+ (Asyncio-based)

    This is a drop-in Erlang node implementation in Python 3, implementing a network Erlang node protocol. It was designed to allow interoperation between existing Python projects and BEAM languages: Erlang, Elixir, Gleam, Luaerl, LFE, Clojerl, and such. With just a few lines of startup code your Python program becomes an Erlang network node, participating in the Erlang cluster.
    Downloads: 0 This Week
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  • 9

    coldev

    C/C++ , PHP, PYTHON, 3D ENGINES, CHROME NATIVE CLIENT

    + C/C++ and PHP projects, Python and Others + 3D ENGINES + Videogames Projects based in Bennugd http://www.bennugd.org Web Page https://coldev.sourceforge.io/
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    Downloads: 35 This Week
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  • Solve Your Real-world Business Challenges From A Single Timesheet With Powerful Built In Integration Icon
    Solve Your Real-world Business Challenges From A Single Timesheet With Powerful Built In Integration

    Timecontrol Is Your Multipurpose Timesheet Software

    TimeControl is a multi-purpose timesheet system designed to serve both Finance and Project Management. TimeControl has been designed to serve many purposes simultaneously. TimeControl tracks time on a task-by-task, project-by-project basis. Yet, despite its project-based controls, it remains a financial timesheet with all the controls necessary to fulfill the stringent needs of payroll, human resources, billing and finance. TimeControl is available both for subscription in the cloud or for purchase for an on premise installation and includes both a browser interface and the free TimeControl Mobile App for iOS and Android devices.
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  • 10
    PyTorch Book

    PyTorch Book

    PyTorch tutorials and fun projects including neural talk

    This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested...
    Downloads: 0 This Week
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  • 11
    pivottablejs

    pivottablejs

    Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook

    PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing...
    Downloads: 0 This Week
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  • 12
    Database mapping layer for MongoDB on Python. Includes schema enforcement and some facilities for schema migration.
    Downloads: 0 This Week
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  • 13

    transitfeed

    Tools for reading, validating & writing transit schedule info in GTFS

    transitfeed helps to make public transit information projects more successful for agencies and other interested parties. It provides a library to help you parse, validate, and generate General Transit Feed Spec (GTFS) feed files. It contains several parts, including TransitFeed (Python package for reading, writing, and validating feeds); Feedvalidator (command line tool that checks a GTFS feed for problems); ScheduleViewer (application for exploring a feed on a map) and more; each with their own set of instructions.
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  • 14
    Edward

    Edward

    A probabilistic programming language in TensorFlow

    A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming.
    Downloads: 1 This Week
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  • 15
    Jmr - Java Code Generator

    Jmr - Java Code Generator

    "black technology" will improve development productivity by 1.5 to 5

    ...Model: Database Model(like Table/View), Java POJO Model, Xml File Model and includes Transform/Mapping/Convert Tool Action: A Java Class can set Java variables to template. Support any kind of project Maven, Gradle, Web, Java, Android, PHP, Python etc. Support any kind of framework spring/springMVC, hibernate, ibatis/mybatis, struts/struts2, JPA etc. Support any kind of language Java the best.
    Downloads: 0 This Week
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  • 16
    txObject ATK is an OS independent C++ & Python object library. Built in the 90s, it provides a 5-layer framework: Object Library, IO / Timers, Threads, Inter-Process / Distributed Object Communication
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  • 17
    Image classification models for Keras

    Image classification models for Keras

    Keras code and weights files for popular deep learning models

    All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet'...
    Downloads: 0 This Week
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  • 18
    cookiecutter-django-rest

    cookiecutter-django-rest

    Build best practiced apis fast with Python3

    You need to make a scalable api on a deadline. You deeply care about the quality of your work. cookiecutter-django-rest takes care of the details so you can focus on making your api awesome. Scaffolding a project takes seconds and it gives you authentication, user accounts, and the docs and tests to support them. Just add your own resources to the api and start shipping. Start off with full test coverage, continuous integration, and continuous deployment. Complete Django Rest Framework...
    Downloads: 0 This Week
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  • 19
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu...
    Downloads: 0 This Week
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  • 20

    TkinterTreectrl

    A Python wrapper for the tktreectrl widget.

    The TkTreectrl module wraps the treectrl tk extension for use with Python/Tkinter.
    Downloads: 1 This Week
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  • 21

    IPS Framework

    A simple Python framework for loosely-coupled multiphysics simulations

    The IPS Framework has migrated to https://github.com/HPC-SimTools/IPS-framework The IPS framework was developed to support loosely-coupled integrated modeling of fusion plasmas (and was originally the Integrated Plasma Simulator). However, the design is quite general, and is suitable for many scientific and engineering domains. In addition to plasma physics, it is also being used in the engineering of batteries. One of the novel features of the IPS framework is its...
    Downloads: 0 This Week
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  • 22
    chemfiles

    chemfiles

    Modern library for chemistry file reading and writing

    Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with...
    Downloads: 0 This Week
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  • 23
    Piplin

    Piplin

    Open source self-hosted continuous integration and deployment system

    Piplin (inspired by "pipeline", pronounced /ˈpɪpˌlɪn/ or /ˈpaɪpˌlaɪn/) is a free, open-source continuous integration and deployment system suitable for various application scenarios related to the automated construction, testing and deployment of software. Support the construction, testing and release of projects such as PHP, Python, JAVA, Ruby, etc. Can be integrated with code hosting platforms such as Gitlab, Github, Gogs, Gitee (Oschina). Flexibility to configure custom build and deployment steps. Support for custom build rules, create releases and deploy builds. Support multi-environment deployment of the project (you can create multiple environments such as development, testing, pre-release and production by yourself). ...
    Downloads: 0 This Week
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  • 24
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    ...Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy.
    Downloads: 0 This Week
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  • 25
    Grumpy

    Grumpy

    Grumpy is a Python to Go source code transcompiler and runtime

    Grumpy is a Python-to-Go transcompiler and runtime designed as a near drop-in replacement for CPython 2.7 that compiles Python source to Go, then to native code. Instead of executing Python bytecode in a VM, Grumpy translates modules into Go code that calls a Go runtime library emulating Python semantics, which can yield performance and deployment benefits in Go ecosystems.
    Downloads: 0 This Week
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