Code Monkey home page Code Monkey logo

ledger's Introduction

Join the chat at https://gitter.im/use-package/Lobby Build Status master Status License GitHub release

Ledger: Command-Line Accounting

Ledger is a powerful, double-entry accounting system that is accessed from the UNIX command-line. This may put off some users, since there is no flashy UI, but for those who want unparalleled reporting access to their data there are few alternatives.

Ledger uses text files for input. It reads the files and generates reports; there is no other database or stored state. To use Ledger, you create a file of your account names and transactions, run from the command line with some options to specify input and requested reports, and get output. The output is generally plain text, though you could generate a graph or html instead. Ledger is simple in concept, surprisingly rich in ability, and easy to use.

For the Impatient

I know, you just want to build and play. If you have all the dependencies installed, then simply do this:

$ git clone git://github.com/ledger/ledger.git
$ cd ledger && ./acprep update  # Update to the latest, configure, make

Now try your first ledger command:

$ ./ledger -f test/input/sample.dat reg

For help on keeping your journal have a look at the documentation and the wiki (Also see the “Resources” section at the end of this file). An Emacs mode for Ledger files can be found in the [ledger/ledger-mode repository] and a vim plugin is located in the ledger/vim-ledger repository.

Docker version

If you have Docker installed on your computer or server, you can use a Docker version of this software, without installing any further dependencies:

$ docker run --rm -v "$PWD"/test/input:/data dcycle/ledger:1 -f /data/sample.dat reg

Dependencies

If you wish to proceed in this venture, you'll need a few dependencies. The easiest way to get them for your platform is to run this handy Python script:

$ ./acprep dependencies

If that doesn't completely work, here are the dependencies for building the current master branch:

Dependency Version (or greater)
Boost 1.49
GMP 4.2.2
MPFR 2.4.0
utfcpp 2.3.4
gettext 0.17 optional
libedit 20090111-3.0 optional
Python 2.4 optional
doxygen 1.5.7.1 optional, for make docs
graphviz 2.20.3 optional, for make docs
texinfo 4.13 optional, for make docs
lcov 1.6 optional, for make report, used with /./acprep gcov
sloccount 2.26 optional, for make sloc

macOS

You can use Homebrew or MacPorts to install Ledger easily on macOS.

1. Homebrew

You can see the parameters you can pass while installing with brew by the command brew options ledger. To install ledger, simply type the following command:

$ brew install ledger

If you to want to startup python, use the following command:

$ ledger python

2. MacPorts

If you build stuff using MacPorts on macOS, as I do, here is what you would run:

$ sudo port install -f cmake python37 \
     libiconv zlib gmp \
     mpfr ncurses ncursesw \
     gettext libedit boost-jam \
     boost +st+python37+icu texlive doxygen graphviz \
     texinfo lcov sloccount

Conda

Ledger is also available through Conda from the conda-forge channel:

$ conda install -c conda-forge ledger

Ubuntu

If you're going to build on Ubuntu, sudo apt-get install ... the following packages (current as of Ubuntu 18.04):

$ sudo apt-get install build-essential cmake doxygen \
     libboost-system-dev libboost-dev python3-dev gettext git \
     libboost-date-time-dev libboost-filesystem-dev \
     libboost-iostreams-dev libboost-python-dev libboost-regex-dev \
     libboost-test-dev libedit-dev libgmp3-dev libmpfr-dev texinfo tzdata

Debian

Debian 9 (stretch), Debian 10 (buster), Debian testing and Debian unstable (sid) contain all components needed to build ledger. You can install all required build dependencies using the following command:

$ sudo apt-get install build-essential cmake autopoint texinfo python3-dev \
     zlib1g-dev libbz2-dev libgmp3-dev gettext libmpfr-dev \
     libboost-date-time-dev libboost-filesystem-dev \
     libboost-graph-dev libboost-iostreams-dev \
     libboost-python-dev libboost-regex-dev libboost-test-dev

Fedora

You can install all required build dependencies under Fedora using the following command (tested with Fedora 32):

$ sudo dnf install boost-date-time boost-devel boost-filesystem \
    boost-iostreams boost-python3-devel boost-regex boost-system \
    boost-test cmake doxygen gettext git gmp-devel libedit-devel \
    mpfr-devel python3-devel texinfo tzdata

Building

The next step is preparing your environment for building. While you can use cmake . and make, I've prepared a script that does a lot more of the footwork for you:

$ ./acprep update
# or, if you want to use the Boost libraries with suffix -mt, install in
# $HOME/local and build with 2 processes in parallel
$ ./acprep update --boost-suffix=-mt --prefix=$HOME/local -j2

Please read the contents of CMakeFiles/CMakeOutput.log and CMakeFiles/CMakeError.log if the configure step fails. Also, see the help subcommand to acprep, which explains some of its many options. It's pretty much the only command I run for configuring, building and testing Ledger.

You can run make check to confirm the result, and make install to install.

Resources

Now that you're up and running, here are a few resources to keep in mind:

If you have ideas you'd like to share, the best way is either to e-mail me a patch (I prefer attachments over pasted text), or to get an account on GitHub. Once you do, fork the Ledger project, hack as much as you like, then send me a pull request via GitHub.

ledger's People

Contributors

4ourbit avatar afh avatar aristidb avatar bkuhn avatar coonce avatar csrhodes avatar ecraven avatar enderw88 avatar fuco1 avatar georgek avatar georglink avatar jwiegley avatar kain88-de avatar kfogel avatar kljohann avatar mbudde avatar merriam avatar purcell avatar q3aiml avatar rahix avatar rladams avatar scfc avatar schmave avatar simonmichael avatar tbm avatar thdox avatar the-kenny avatar tripun avatar vanicat avatar xnox avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.