forge | native implementation of TLS in Javascript and tools | Cryptography library

 by   digitalbazaar JavaScript Version: v1.3.1 License: Non-SPDX

kandi X-RAY | forge Summary

kandi X-RAY | forge Summary

forge is a JavaScript library typically used in Security, Cryptography applications. forge has no bugs, it has no vulnerabilities and it has medium support. However forge has a Non-SPDX License. You can install using 'npm i node-forge-proh-dev' or download it from GitHub, npm.

The Forge software is a fully native implementation of the TLS protocol in JavaScript, a set of cryptography utilities, and a set of tools for developing Web Apps that utilize many network resources.

            kandi-support Support

              forge has a medium active ecosystem.
              It has 4721 star(s) with 771 fork(s). There are 152 watchers for this library.
              It had no major release in the last 6 months.
              There are 349 open issues and 454 have been closed. On average issues are closed in 146 days. There are 49 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of forge is v1.3.1

            kandi-Quality Quality

              forge has 0 bugs and 0 code smells.

            kandi-Security Security

              forge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              forge code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              forge has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              forge releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.
              forge saves you 1227 person hours of effort in developing the same functionality from scratch.
              It has 2766 lines of code, 34 functions and 128 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed forge and discovered the below as its top functions. This is intended to give you an instant insight into forge implemented functionality, and help decide if they suit your requirements.
            • Calculates the S3 matrix
            • eslint - disable - line signature
            • Update the state of the block .
            • Initialize the RCC table .
            • Reads a value from an NDEF record .
            • Expand the given key
            • Decode a SafeContents object .
            • Generate a prime key pair
            • Generate PC keys .
            • Prime prime number generator .
            Get all kandi verified functions for this library.

            forge Key Features

            No Key Features are available at this moment for forge.

            forge Examples and Code Snippets

            No Code Snippets are available at this moment for forge.

            Community Discussions


            Why Python native on M1 Max is greatly slower than Python on old Intel i5?
            Asked 2022-Mar-29 at 03:35

            I just got my new MacBook Pro with M1 Max chip and am setting up Python. I've tried several combinational settings to test speed - now I'm quite confused. First put my questions here:

            • Why python run natively on M1 Max is greatly (~100%) slower than on my old MacBook Pro 2016 with Intel i5?
            • On M1 Max, why there isn't significant speed difference between native run (by miniforge) and run via Rosetta (by anaconda) - which is supposed to be slower ~20%?
            • On M1 Max and native run, why there isn't significant speed difference between conda installed Numpy and TensorFlow installed Numpy - which is supposed to be faster?
            • On M1 Max, why run in PyCharm IDE is constantly slower ~20% than run from terminal, which doesn't happen on my old Intel Mac.

            Evidence supporting my questions is as follows:

            Here are the settings I've tried:

            1. Python installed by

            • Miniforge-arm64, so that python is natively run on M1 Max Chip. (Check from Activity Monitor, Kind of python process is Apple).
            • Anaconda. Then python is run via Rosseta. (Check from Activity Monitor, Kind of python process is Intel).

            2. Numpy installed by

            • conda install numpy: numpy from original conda-forge channel, or pre-installed with anaconda.
            • Apple-TensorFlow: with python installed by miniforge, I directly install tensorflow, and numpy will also be installed. It's said that, numpy installed in this way is optimized for Apple M1 and will be faster. Here is the installation commands:


            Answered 2021-Dec-06 at 05:53
            Possible Cause: Different BLAS Libraries

            Since the benchmark is running linear algebra routines, what is likely being tested here are the BLAS implementations. A default Anaconda distribution for osx-64 platform is going to come with Intel's MKL implementation; the osx-arm64 platform only has the generic Netlib BLAS and the OpenBLAS implementation options.

            For me (MacOS w/ Intel i9), I get the following benchmark results:

            BLAS Implmentation Mean Timing (s) mkl 0.95932 blis 1.72059 openblas 2.17023 netlib 5.72782

            So, I suspect the old MBP had MKL installed, and the M1 system is installing either Netlib or OpenBLAS. Maybe try figuring out whether Netlib or OpenBLAS are faster on M1, and keep the faster one.

            Specifying BLAS Implementation

            Here are specifically the different environments I tested:



            Cannot load inline font in Electron-Forge/Webpack
            Asked 2022-Mar-29 at 03:04

            When import 'semantic-ui-css/semantic.min.css' into a brand new Electron-Forge/Webpack5 project, I get the following:



            Answered 2021-Jul-26 at 17:05

            Finally fixed it...

            Electron-Forge installs a recent version of CSS-Loader, whereas the website still has quite an old version. Downgrading fixed the issue.



            In R, how to use reticulate to import mplsoccer
            Asked 2022-Mar-23 at 20:33

            I'm trying to import a python package (mplsoccer) via reticulate package but I can't: reticulate::py_install('mplsoccer')

            This is the message I get:



            Answered 2022-Mar-23 at 20:33

            This isn't available through Conda, but is on PyPI. Try instead:



            How to hack conda for Anaconda3 Python to ignore package dependencies? Modified conda-meta package JSON depends flag, but it's not enough
            Asked 2022-Mar-03 at 23:39

            Alright I have a package Pythran which is a Python to C++ (PYD module) complier. The package itself on conda-forge says it requires clang and clangxx. BUT I have MS Build Tools clang-12 already installed, so these packages are not used at all.

            Now every time I go to conda install [package_name] it tells me my environment is inconsistent, because I force removed the clang libraries I don't need (or want) via a:



            Answered 2022-Mar-01 at 00:36
            Dummy Packages

            The cleaner solution is to create a dummy package that one can install as an indicator that the corresponding software is already available on the system. This is what Conda Forge provides for the mpich package. Specifically, they provide an external build (see recipe), that one installs with



            Conflicting Python versions in SageMaker Studio notebook with Python 3.8 kernel
            Asked 2022-Feb-25 at 13:00

            I'm trying to run a SageMaker kernel with Python 3.8 in SageMaker Studio, and the notebook appears to use a separate distribution of Python 3.7. The running app is indicated as tensorflow-2.6-cpu-py38-ubuntu20.04-v1. When I run !python3 -V I get Python 3.8.2. However, the Python instance inside the notebook is different:



            Answered 2022-Feb-25 at 13:00

            are you still facing this issue?

            I am in eu-west-2 using a SageMaker Studio notebook and the TensorFlow 2.6 Python 3.8 CPU Optimized image (running app is tensorflow-2.6-cpu-py38-ubuntu20.04-v1).

            When I run the below commands, I get the right outputs.



            Calibration based on the total of a variable other than the population
            Asked 2022-Feb-18 at 16:08

            I've been working on some survey data using the survey package. I read the documentation available on post-stratification and calibration, however I got stuck trying to calibrate the sampling weights on a total known for the population that is not the population total.

            To make my self clear I prepared an example: Let's say I have income information for a sample stratified by sex, which lets me create the svydesign object:



            Answered 2022-Feb-17 at 04:09

            Here is a workaround.

            all your data is stored at dis$variables, from there you can export it and make your calculations. I hope this can inspire better solutions



            Does it make sense to use Conda + Poetry?
            Asked 2022-Feb-14 at 10:04

            Does it make sense to use Conda + Poetry for a Machine Learning project? Allow me to share my (novice) understanding and please correct or enlighten me:

            As far as I understand, Conda and Poetry have different purposes but are largely redundant:

            • Conda is primarily a environment manager (in fact not necessarily Python), but it can also manage packages and dependencies.
            • Poetry is primarily a Python package manager (say, an upgrade of pip), but it can also create and manage Python environments (say, an upgrade of Pyenv).

            My idea is to use both and compartmentalize their roles: let Conda be the environment manager and Poetry the package manager. My reasoning is that (it sounds like) Conda is best for managing environments and can be used for compiling and installing non-python packages, especially CUDA drivers (for GPU capability), while Poetry is more powerful than Conda as a Python package manager.

            I've managed to make this work fairly easily by using Poetry within a Conda environment. The trick is to not use Poetry to manage the Python environment: I'm not using commands like poetry shell or poetry run, only poetry init, poetry install etc (after activating the Conda environment).

            For full disclosure, my environment.yml file (for Conda) looks like this:



            Answered 2022-Feb-14 at 10:04

            As I wrote in the comment, I've been using a very similar Conda + Poetry setup in a data science project for the last year, for reasons similar to yours, and it's been working fine. The great majority of my dependencies are specified in pyproject.toml, but when there's something that's unavailable in PyPI, I add it to environment.yml.

            Some additional tips:

            1. Add Poetry, possibly with a version number (if needed), as a dependency in environment.yml, so that you get Poetry installed when you run conda env create, along with Python and other non-PyPI dependencies.
            2. Consider adding conda-lock, which gives you lock files for Conda dependencies, just like you have poetry.lock for Poetry dependencies.



            Cannot find conda info. Please verify your conda installation on EMR
            Asked 2022-Feb-05 at 00:17

            I am trying to install conda on EMR and below is my bootstrap script, it looks like conda is getting installed but it is not getting added to environment variable. When I manually update the $PATH variable on EMR master node, it can identify conda. I want to use conda on Zeppelin.

            I also tried adding condig into configuration like below while launching my EMR instance however I still get the below mentioned error.



            Answered 2022-Feb-05 at 00:17

            I got the conda working by modifying the script as below, emr python versions were colliding with the conda version.:



            Conda can't import module that's been installed
            Asked 2022-Feb-03 at 09:24

            Others have asked about this, but my situation seems slightly different, and none of the suggestions they received worked for me (e.g. here, here, here).

            I'm using Anaconda Navigator on Windows, and trying to use the "nco" package. I installed it via the Anaconda Navigator, and when (in Spyder) I type conda list nco it gives me:



            Answered 2022-Feb-03 at 09:18

            The Conda package nco refers to the commandline tool. The Python bindings to nco are provided by the Conda package pynco. So, you want



            Cannot set up a conda environment with python 3.10
            Asked 2022-Jan-31 at 10:35

            I am trying to set up a conda environment with python 3.10 installed. For some reason, no install commands for additional packages are working. For example, if I run conda install pandas, I get the error:



            Answered 2021-Oct-08 at 08:42

            Thats a bug in conda, you can read more about it here:

            Right now there is a PR to fix it but its not a released version. For now, just stick with


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install forge

            Note: Please see the Security Considerations section before using packaging systems and pre-built files. Forge uses a CommonJS module structure with a build process for browser bundles. The older 0.6.x branch with standalone files is available but will not be regularly updated.


            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone digitalbazaar/forge

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Cryptography Libraries


            by dogecoin


            by google


            by brix


            by Ciphey


            by jedisct1

            Try Top Libraries by digitalbazaar


            by digitalbazaarJavaScript


            by digitalbazaarPython


            by digitalbazaarPHP


            by digitalbazaarJavaScript


            by digitalbazaarJavaScript