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ever-co
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Description

Ever® Gauzy™ - Open-Source Business Management Platform (ERP/CRM/HRM)

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Ever Gauzy Platform

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Ever® Gauzy™ - Open-Source Business Management Platform for On-Demand and Sharing Economies.

Ever® Gauzy™ Platform is an: - Enterprise Resource Planning (ERP) software - Customer Relationship Management (CRM) software - Human Resource Management (HRM) software with employee Time and Activity Tracking functionality

overview

You are welcome to check more information about the platform at our official website - https://gauzy.co.

Ever® Gauzy™ Platform is a part of our larger Open Platform for On-Demand and Sharing Economies.
You can get more information about our products at https://ever.co.

Ever® Gauzy™ Platform main features:

  • Human Resources Management (HRM) with Time Management / Tracking and Employees Performance Monitoring
  • Customer Relationship Management (CRM)
  • Enterprise Resource Planning (ERP)
  • Projects / Tasks Management
  • Sales Management
  • Financial and Cost Management (including Accounting, Invoicing, etc)
  • Inventory, Supply Chain Management and Production Management

More detailed list of the features available in the platform:

  • Dashboard (provides overview of different metrics, such as company income / expenses, employees bonuses, etc.)
  • Time Management / Time Tracking / Activity Tracking / Timesheets
  • Employees Management (register of company employees / contractors, rates of employees, etc.)
  • Employees Onboarding / Candidates Interviews
  • Contacts Management (Clients / Customers / Leads / etc.)
  • Schedules / Appointments / Events
  • Project Management / Tasks
  • Goals / KPI / Objectives / Key Results
  • Sales Pipelines
  • Proposals
  • Accounting / Invoicing / Estimates
  • Billing
  • Payments
  • Income / Expenses Management
  • Time Off Management / Holidays / Approvals
  • Inventory
  • Equipment / Sharing
  • Organization Departments and Teams
  • Organization Clients and Vendors
  • Help Center / Knowledge Base
  • Multiple Organizations Management
  • Tags / Labels
  • Reports
  • Organization and Employee Public Pages
  • Integrations (Upwork, HubStaff, etc.)
  • Email History / Email Templates
  • Data Import / Export
  • Roles / Permissions
  • Multi-currency
  • Multi-language
  • Dark / Light / Corporate and other Themes

Read more About Gauzy and How to use it at your company, on-demand business, freelance business, agency, studio or in-house teams.

Demo, Downloads, Testing and Production

Demo

Download

You can download Gauzy Platform, Gauzy Server or Desktop Apps (Windows/Mac/Linux) from the official Downloads page.

In addition, all downloads are also available from the following pages: - Gauzy Releases - Server Releases - Desktop App Releases - Desktop Timer App Releases

Production (SaaS, WIP)

Dev Builds

  • Gauzy Platform Dev builds (using CI/CD, from the
    develop
    branch) will be available later at https://app.gauzy.dev

Server & Desktop Apps

We have Gauzy Server and two Desktop Apps (for Windows/Mac/Linux):

  • Ever® Gauzy™ Server - includes Gauzy API, SQLite DB (or connects to external PostgreSQL) and serves Guazy frontend. It allows to quickly run Gauzy Server for multiple clients (browser based or Desktop based). It's recommended option if you want to setup Ever Gauzy Platform in the small to medium organizations.

  • Ever® Gauzy™ Desktop App - includes Gauzy frontend (UI), Gauzy API, SQLite DB, etc., all-in-one! It allows to quickly run the whole Gauzy solution locally, both UI and Timer (for time tracking, optionally of course). In addition, it allows to connect to the external database (e.g. PostgreSQL) or external API (if you have Gauzy Server with API / DB installed on different computer or if you want to connect to our live API). It's recommended option if you want to try Gauzy quickly / for personal use or if you want to connect to Gauzy Server in the "client-server" configuration (and use Desktop App instead of web browser).

  • Ever® Gauzy™ Desktop Timer App - allows to run Time & Activity Tracking for employees (agent) with screenshots and activity monitoring. Recommended to setup by organization employees as long as they are not interested in other Gauzy Platform features (e.g. accounting) and only need to track work time.

More information about our Server & Desktop Apps:

  • Download for your OS from the official Downloads page or see section "Download" above for other links to our releases pages.
  • Setup Gauzy Server with default choices in Setup Wizard and run it.
  • You can also setup Gauzy Desktop App (can run independently or connect to Gauzy Server) or Gauzy Desktop Timer App (should be connected to Gauzy Server)
  • You can login with
    [email protected]
    and password
    admin
    to check Admin functionality if you installed Gauzy Server or Gauzy Desktop App. Note: such Admin user is not an employee, so you will not be able to track time.
  • You can login with
    [email protected]
    and password
    123456
    to check Employee related functionality in Gauzy UI or to run Desktop Timer from "Employee" perspective (such user is an Employee and can track time).
  • If you install Gauzy Server, it is possible to connect to it using browser (by default on http://localhost:8084) or using Gauzy Desktop Apps (make sure to configure Desktop apps to connect to Gauzy API on http://127.0.0.1:5620/api because it's where Gauzy Server API runs by default).
  • You can read more information about our Desktop Apps in the Desktop Apps Wiki Page and about our Server in the Server Wiki Page.

Technology Stack and Requirements

For Production, we recommend:

Note: thanks to TypeORM, Gauzy will support lots of DBs: SQLite (default, for demos), PostgreSQL (development/production), MySql, MariaDb, CockroachDb, MS SQL, Oracle, MongoDb and others, with minimal changes.

See also README.md and CREDITS.md files in relevant folders for lists of libraries and software included in the Platform, information about licenses and other details.

Documentation

Please refer to our official Platform Documentation and to our Wiki (WIP).

Quick Start

With Docker Compose

  • Clone repo.
  • Make sure you have Docker Compose installed locally.
  • Copy
    .env.compose
    file into
    .env
    file in the root of mono-repo (file contains default env variables definitions). Important: file
    .env.compose
    is different to
    .env.sample
    in some settings, please make sure you use correct one!
  • Run
    docker-compose -f docker-compose.demo.yml up
    , if you want to run the platform using our prebuild Docker images. (Note: it uses latest images pre-build automatically from head of
    master
    branch using Github CI/CD.)
  • Run
    docker-compose up
    , if you want to build everything (code and Docker images) locally. (Note: this is extremely long process, option above is much faster.)
  • :coffee: time... It might take some time for our API to seed fake data in the DB during the first Docker Compose run, even if you used prebuild Docker images.
  • Open http://localhost:4200 in your browser.
  • Login with email
    [email protected]
    and password:
    admin
    for Super Admin user.
  • Login with email
    [email protected]
    and password:
    123456
    for Employee user.
  • Enjoy!

Together with Gauzy, Docker Compose will run following:

Manually

  • Install NodeJs LTS version, e.g. 14.x (note: at the moment Gauzy may not work with Node 15.x/16.x).
  • Optionally install and run PostgreSQL version 11 or 12 (version 13 might not be supported yet). Note: other DB can be configured manually in TypeORM. The default DB is set to SQLite (recommended for testing/demo purposes only).
  • Install Yarn (if you don't have it) with
    npm i -g yarn
    .
  • Install NPM packages and bootstrap solution using command
    yarn bootstrap
    .
  • Adjust settings in the
    .env.local
    which used in local runs.
  • Alternatively, you can copy
    .env.sample
    to
    .env
    and change default settings there, e.g. database type, name, user, password, etc.
  • Optionally, if you want to seed a lot of fake data for demo testing, run
    yarn seed:all
    .
  • Run both API and UI with single command:
    yarn start
    .
  • Open Gauzy UI on http://localhost:4200 in your browser (API runs on http://localhost:3000/api).
  • Login with email
    [email protected]
    and password:
    admin
    for Super Admin user.
  • Login with email
    [email protected]
    and password:
    123456
    for Employee user.
  • Enjoy!

Notes:

  • during the first API start, DB will be automatically seed with minimum set of initial data if no users found.
  • you can run seed any moment manually (e.g. if you changed entities schemas) with
    yarn seed
    command to re-initialize DB (warning: unsafe for production!).
  • it is possible to run generation of extremely large amount of fake data for demo purposes / testing with
    yarn seed:all
    (warning: takes ~10 min to complete)

Production

  • See Setup Gauzy for Client Server for more information about production setup on your servers.
  • For simple deployments scenarios (e.g. for yourself or your own small organization), check our Kubernetes configurations, which we are using to deploy Gauzy demo into DigitalOcean k8s cluster.
  • In addition, check Gauzy Pulumi project (WIP), it makes complex Clouds deployments possible with a single command (
    pulumi up
    ). Note: it currently supports AWS EKS (Kubernetes) for development and production with Application Load Balancers and AWS RDS Serverless PostgreSQL DB deployments. We also implemented deployments to ECS EC2 and Fargate Clusters in the same Pulumi project.

Contribute

  • Please give us :star: on Github, it helps!
  • You are more than welcome to submit feature requests in the separate repo
  • Pull requests are always welcome! Please base pull requests against the develop branch and follow the contributing guide.

Contributors

View full list of our contributors.

Contact Us

Security

Gauzy™ follows good security practices, but 100% security cannot be guaranteed in any software!
Gauzy™ is provided AS IS without any warranty. Use at your own risk!
See more details in the LICENSE.

In a production setup, all client-side to server-side (backend, APIs) communications should be encrypted using HTTPS/WSS/SSL (REST APIs, GraphQL endpoint, Socket.io WebSockets, etc.).

If you discover any issue regarding security, please disclose the information responsibly by sending an email to [email protected] or on huntr and not by creating a GitHub issue.

License

We support the open-source community. If you're building awesome non-profit/open-source projects, we're happy to help and will provide (subject to acceptance criteria) Ever Gauzy Enterprise edition license and free hosting option! Feel free to contact us at [email protected] to make a request. More details explained in our Wiki.

This software is available under following licenses:

The default Ever® Gauzy™ Platform license, without a valid Ever® Gauzy™ Platform Enterprise or Ever® Gauzy™ Platform Small Business License agreement, is the Ever® Gauzy™ Platform Community Edition License.

Please see LICENSE for more information on licenses. You can also compare our offering.

FOSSA Status

Trademarks

Ever® is a registered trademark of Ever Co. LTD.
Ever® Demand™, Ever® Gauzy™ and Ever® OpenSaaS™ are all trademarks of Ever Co. LTD.

The trademarks may only be used with the written permission of Ever Co. LTD. and may not be used to promote or otherwise market competitive products or services.

All other brand and product names are trademarks, registered trademarks or service marks of their respective holders.

Copyright

Copyright © 2019-present, Ever Co. LTD. All rights reserved.

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