Evidence: Code-Based Open-Source Alternative for AI Tools

Evidence: Code-Based Open-Source Alternative for Business Intelligence Tools - Get the most out of Evidence

Free Usage for Community

Step 1: Installing Evidence

Download the Evidence VSCode Extension from the Visual Studio Code marketplace.
Open Visual Studio Code and access the Command Palette (shortcut: F1).
Enter "Evidence: New Evidence Project" in the Command Palette to initiate a new Evidence project.
Click the "Start Evidence" button in the bottom status bar to begin working with Evidence.

Step 2: Publishing Your Project

Utilize Evidence Cloud, the convenient hosting solution, to securely host your project for free.
Alternatively, opt for self-hosted options such as Netlify, Vercel, or other static site hosting platforms for greater control over your hosting environment.

Step 3: Joining the Evidence Community

Engage with the vibrant Evidence community by joining the Slack channel.
Participate in discussions, share your projects, or request features to contribute to the growth and improvement of Evidence.
Follow Evidence on Twitter to stay updated with the latest news and developments.

Step 4: Contributing to Evidence

If you're interested in contributing to Evidence, there are several avenues to get involved.
Join the Slack channel to connect with other contributors and discuss potential contributions.
Open an issue if you encounter any bugs or have suggestions for enhancements.
Contribute a pull request to the Evidence repository to implement new features or improvements.

Step 5: Exploring Evidence Features

Evidence offers a lightweight framework for building data apps using SQL and Markdown.
Build polished data products with SQL queries and render charts and components using query results.
Leverage templated pages to generate multiple pages from a single Markdown template, incorporating loops and conditional statements for dynamic content.
Take advantage of Evidence's code-driven workflow and lightweight syntax to streamline development and customization.

Step 6: Delivering an Incredible User Experience

Provide a modern web application experience that users can access on any device.
Ensure instant page loads by pre-building all queries and pages, eliminating delays commonly associated with traditional BI tools.
Create context-rich reports with narrative, definitions, and caveats integrated inline with your reports.
Utilize Evidence's data visualization components to produce publication-quality graphics and UI components, enhancing the visual appeal and usability of your data products.

Step 7: Deploying and Maintaining Evidence

Manage your project with version control using Git, and collaborate with your team using GitHub or GitLab.
Implement continuous integration and continuous deployment (CI/CD) pipelines to automate the deployment process.
Evidence publishes your project as a static site, with all queries and pages pre-built, ensuring consistency and reliability with each deployment.
Integrate Evidence seamlessly into your existing data stack, with support for various databases and tools such as Snowflake, BigQuery, Redshift, and more.

Step 8: Joining Trusted Organizations

Evidence is trusted by leading organizations such as Quip, Ginkgo Bioworks, Zitcha, and Crexi.
Join these organizations in creating better data products with Evidence and contribute to the advancement of data-driven decision-making.

With these steps, you can effectively utilize Evidence to build powerful data apps and contribute to the open-source community.

Claim Deal