GoFundMe Pro vs Houdini

GoFundMe Pro is fundraising software for nonprofits, with tools for online campaigns, peer-to-peer giving, and events. Its drag-and-drop builder lets organizations create fundraising pages without coding, and donation forms can use their branding and be embedded on their websites. Donors can give on a recurring basis, with Venmo and Apple Pay among the listed payment methods. The platform also supports event registration and check-in, livestream fundraising, and Nonprofit Pages on GoFundMe. GoFundMe Intelligence uses AI and campaign data to tailor donation forms; reporting includes donor, transaction, campaign, and channel data. Listed integrations include Salesforce, Google Analytics, Google Tag Manager, Constant Contact, Mailchimp, and HubSpot. GoFundMe Pro describes native Salesforce integrations for Nonprofit Cloud, Education Cloud, and Sales Cloud, with NPSP support. Essentials has no subscription or setup fees, though additional fees and add-ons may apply; custom pricing is listed for larger organizations. Organizations must be headquartered in the United States, but their programs can operate globally.

Houdini is free, open-source fundraising infrastructure for nonprofits and NGOs. It provides crowdfunding campaigns, fundraising events, donation forms, a donate-widget page and generator, plus simple donor management. Nonprofit dashboards cover payment history, payouts, recurring donations, metrics, supporter relationships through a CRM and organizational user accounts. Campaign reporting is listed as advanced. Payment processing is separate and requires Stripe API keys during setup. Houdini runs as a self-hosted Rails application, with production instructions for Linux using SystemD and Nginx. Supported systems include Ubuntu 18.04, 20.04, 22.04 or an equivalent. Prerequisites include Node.js 16, Yarn, PostgreSQL 12 (PostgreSQL 10 may work) and Ruby 2.7. The project describes its latest version as pre-2.0 and in heavy development, recommending v1 instead. Building JavaScript assets needs about 3 GB free RAM, while the deployment guide suggests at least 4 GB for the server. Security reports go by email; GitHub Discussions hosts project chat.