It is free software and written in Python (v2 + v3). Is a sleek and powerful graphical user interface for Git. ![]() ![]() Git-Cola: Powerful Graphical User Interface For GIT Besides, the client shows commit changes in side by side windows, where you can approve the changes and get back in a click.Ĥ. It provides a visual representation of changes and commits so that you can have an instant idea of who made which commit. Is a free (only for non-commercial use) Git client. But those things are only great after you’ve pushed your code to GitHub. Besides, pull requests, merge button, fork queue, issues, pages, wiki: all awesome features that make sharing easier. It also allows developers to synchronize branches, clone repositories, and more. It is written in TypeScript and uses React. Is an open-source Electron-based GitHub app. GitHub Desktop: Simple collaboration from your desktop You can check our bootstrap admin templates: sneat Bootstrap 5 HTML Admin Template & Chameleon Free Bootstrap Admin Template which are made using the sourcetree.Ģ. Keep your repositories cleaner and your development more efficient.Ĭreate, clone, commit, push, pull, merge, and more are all just a click away. Review your outgoing and incoming changesets, cherry-pick between branches, patch handling, rebase, stash, shelve, and much more. HTTPS: HyperText Transfer Protocol Secure.This enterprise-grade tool can be used as part of a larger team.You can configure Git integration using one of the following protocols: To access Git integration options, you must have Development Mode turned on. This page uses GitHub as an example for connecting a Looker project to Git once you have created a Git repository. The general steps are the same no matter which platform you use. Git repositories are often called repos.įor LookML source file management, Looker can be configured with any Git provider that uses an SSH key or HTTPS for authentication. Each LookML project corresponds to a Git repository, and any time a user is in Development Mode that user is on their own Git branch. Looker uses Git to record changes and manage file versions. For a more robust Git integration, create your own Git repository and follow the instructions on this page to connect it to your Looker instance. For a quicker setup, use a bare repository. Once you’re ready to publish your project, the next step is to configure a Git connection.Ĭonfiguring a Git connection for your project lets you deploy your LookML to Production Mode, which lets other users explore your data model, build dashboards, and add LookML to your model. When you create a new project, it only exists in Development Mode to let you develop your model in a safe environment that will not impact other users. Viewing dashboards in the Looker mobile application.Viewing Looks in the Looker mobile application.Navigating to content in the Looker mobile application.Signing in to the Looker mobile application.Installing the Looker mobile application on your mobile device.Enabling the Looker mobile application for your instance.Creating Looker usage reports with System Activity Explores.Designing and configuring a system of access levels.Access control and permission management.Auto-provisioning a new Looker instance.Setting permissions for Looker extensions.Security best practices for embedded analytics.Use embedding, the API, and the extension framework.Templated filters and Liquid parameters.Caching queries and rebuilding PDTs with datagroups.Changing the Explore menu and field picker.Incorporating SQL and referring to LookML objects.Developing a custom visualization for the Looker Marketplace.Developing a custom block for the Looker Marketplace. ![]() Configuring project version control settings.Setting up and testing a Git connection.Accessing and editing project information.Managing database functions with SQL Runner.Using SQL Runner to create derived tables.Using SQL Runner to create queries and Explores.Navigating projects with the object browser panel.Converting from user-defined to LookML dashboards.Converting from LookML to user-defined dashboards.Creating and managing LookML dashboards.Adding and editing user-defined dashboard filters.Adding saved content to dashboards (legacy feature).Adding custom formatting to numeric fields.Merging results from different Explores.Configuring alerts for Looker users (Looker admins).Conditionally delivering Looks and Explores.Configuring content deliveries for Looker users (Looker admins).Scheduling deliveries to the Slack integration.Using the Looker Scheduler to Deliver Content.Public sharing, importing, and embedding of Looks.Organizing and managing access to content.Viewing your conditional alert notifications.
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