Whatever SaaS tool you're using, there's probably an open source alternative. Here's the definitive list — 50+ categories, 100+ tools.
| SaaS | OSS Alternative | Stars | License |
|---|
| Slack | Mattermost | 30K+ | AGPL-3.0 |
| Slack | Rocket.Chat | 40K+ | MIT |
| Microsoft Teams | Element (Matrix) | 11K+ | Apache-2.0 |
| Discord | Revolt | 900+ | AGPL-3.0 |
| Zoom | Jitsi Meet | 23K+ | Apache-2.0 |
| Google Meet | BigBlueButton | 8K+ | LGPL |
| Loom | OBS Studio | 60K+ | GPL-2.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Jira | Plane | 30K+ | AGPL-3.0 |
| Linear | Plane | 30K+ | AGPL-3.0 |
| Asana | Taiga | 7K+ | MPL-2.0 |
| Monday.com | OpenProject | 9K+ | GPL-3.0 |
| Trello | WeKan | 19K+ | MIT |
| Trello | Planka | 5K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Notion | Outline | 28K+ | BSL |
| Notion | AppFlowy | 56K+ | AGPL-3.0 |
| Confluence | BookStack | 15K+ | MIT |
| Confluence | Wiki.js | 25K+ | AGPL-3.0 |
| Google Docs | Nextcloud Office | 27K+ | AGPL-3.0 |
| Obsidian | Logseq | 32K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Google Analytics | Plausible | 20K+ | AGPL-3.0 |
| Google Analytics | Umami | 22K+ | MIT |
| Mixpanel | PostHog | 20K+ | MIT |
| Matomo | Matomo | 20K+ | GPL-3.0 |
| Tableau | Metabase | 39K+ | AGPL-3.0 |
| Tableau | Apache Superset | 63K+ | Apache-2.0 |
| Power BI | Redash | 26K+ | BSD-2 |
| Amplitude | PostHog | 20K+ | MIT |
| SaaS | OSS Alternative | Stars | License |
|---|
| Salesforce | Twenty | 20K+ | AGPL-3.0 |
| HubSpot | Erxes | 3.5K+ | AGPL-3.0 |
| Pipedrive | EspoCRM | 1.7K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Intercom | Chatwoot | 21K+ | MIT |
| Zendesk | Zammad | 4K+ | AGPL-3.0 |
| Freshdesk | FreeScout | 2.8K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Mailchimp | Listmonk | 15K+ | AGPL-3.0 |
| Mailchimp | Mautic | 7K+ | GPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Figma | Penpot | 33K+ | MPL-2.0 |
| Adobe Illustrator | Inkscape | 2K+ | GPL-2.0 |
| Adobe Photoshop | GIMP | — | GPL-3.0 |
| Canva | Excalidraw | 84K+ | MIT |
| Adobe Lightroom | Darktable | 9K+ | GPL-3.0 |
| Blender | Blender | 13K+ | GPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Calendly | Cal.com | 35K+ | AGPL-3.0 |
| Doodle | Rallly | 3K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Zapier | n8n | 48K+ | Sustainable Use |
| Make (Integromat) | Automatisch | 3K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Postman | Hoppscotch | 66K+ | MIT |
| Postman | Bruno | 27K+ | MIT |
| GitHub Copilot | Continue | 20K+ | Apache-2.0 |
| GitHub Copilot | Tabby | 22K+ | Apache-2.0 |
| Vercel | Coolify | 35K+ | Apache-2.0 |
| Heroku | Dokku | 29K+ | MIT |
| SaaS | OSS Alternative | Stars | License |
|---|
| Firebase | Supabase | 73K+ | Apache-2.0 |
| Firebase | Appwrite | 45K+ | BSD-3 |
| Firebase | PocketBase | 40K+ | MIT |
| Algolia | Meilisearch | 47K+ | MIT |
| Algolia | Typesense | 21K+ | GPL-3.0 |
| Auth0 | Keycloak | 23K+ | Apache-2.0 |
| Auth0 | Authentik | 13K+ | Custom |
| Auth0 | Logto | 9K+ | MPL-2.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Shopify | Medusa | 26K+ | MIT |
| Shopify | Saleor | 21K+ | BSD-3 |
| WooCommerce | WooCommerce | 9K+ | GPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Datadog | Grafana | 65K+ | AGPL-3.0 |
| Datadog | Prometheus | 55K+ | Apache-2.0 |
| Pingdom | Uptime Kuma | 58K+ | MIT |
| Sentry | GlitchTip | 1K+ | MIT |
| Sentry | Highlight.io | 8K+ | Apache-2.0 |
| PagerDuty | Alertmanager | 6K+ | Apache-2.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| 1Password | Vaultwarden | 39K+ | GPL-3.0 |
| 1Password | KeePassXC | 20K+ | GPL-2.0 |
| LastPass | Bitwarden | 16K+ | AGPL-3.0 |
| HashiCorp Vault | OpenBao | 3K+ | MPL-2.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Dropbox | Nextcloud | 27K+ | AGPL-3.0 |
| Google Drive | Nextcloud | 27K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Typeform | Formbricks | 8K+ | AGPL-3.0 |
| Google Forms | Heyform | 6K+ | AGPL-3.0 |
| SurveyMonkey | LimeSurvey | 2.5K+ | GPL-2.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Bitly | Dub | 19K+ | AGPL-3.0 |
| Bitly | Shlink | 3K+ | MIT |
| SaaS | OSS Alternative | Stars | License |
|---|
| DocuSign | Documenso | 6K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Stripe Billing | Kill Bill | 4.5K+ | Apache-2.0 |
| FreshBooks | Invoice Ninja | 8K+ | Elastic License |
| QuickBooks | Crater | 7.7K+ | AGPL-3.0 |
| SaaS | OSS Alternative | Stars | License |
|---|
| Circle | Discourse | 42K+ | GPL-2.0 |
| Circle | Flarum | 15K+ | MIT |
In 2026, there's an open source alternative for nearly every SaaS category. Some are direct replacements (Plausible for GA, Vaultwarden for 1Password). Others are 80-90% of the way there (Penpot for Figma, Twenty for Salesforce).
The ecosystem has matured to the point where the question isn't "Is there an alternative?" but "Which alternative is best for my use case?"
Compare all open source alternatives side by side at OSSAlt.
Most self-hosting decisions are framed as feature comparisons, but the better question is operational fit. Can the tool be upgraded without a maintenance window that panics the team? Is configuration stored as code or trapped in a UI? Are secrets rotated cleanly? Can one engineer explain the recovery process to another in twenty minutes? These are the properties that decide whether a self-hosted service remains in production or gets abandoned after the first incident. Fancy template libraries and long integration lists help at evaluation time, but the long-term win comes from boring traits: transparent backups, predictable networking, obvious logs, and a permission model that does not require guesswork.
That is also why platform articles benefit from linking horizontally across the stack. A deployment layer does not live alone. Coolify guide is relevant whenever the real goal is reducing friction for application deploys. Dokploy guide matters when multi-node Docker or simpler PaaS ergonomics drive the decision. Gitea guide becomes part of the same conversation because source control, CI triggers, and deployment permissions are tightly coupled in practice. Treating those services as a system instead of isolated products leads to much better architecture decisions.
For teams moving from SaaS, the most reliable adoption path is phased substitution. Replace one expensive or strategically sensitive service first, document the real support burden for a month, and only then expand. This does two things. First, it keeps the migration politically survivable because there is always a rollback point. Second, it turns vague arguments about self-hosting into measured trade-offs around uptime, maintenance hours, vendor lock-in, and annual spend. A good article should push readers toward that discipline rather than implying that replacing ten SaaS products in a weekend is responsible.
Another overlooked issue is platform standardization. The more heterogeneous the stack, the more hidden cost accrues in upgrades, documentation, and debugging. When two tools solve adjacent problems, teams should prefer the one that matches their existing operational model unless the feature gap is material. That is why the best self-hosting guides talk about package boundaries, reverse proxy habits, backup patterns, and team runbooks. They are not just product recommendations. They are deployment strategy.
Most self-hosting decisions are framed as feature comparisons, but the better question is operational fit. Can the tool be upgraded without a maintenance window that panics the team? Is configuration stored as code or trapped in a UI? Are secrets rotated cleanly? Can one engineer explain the recovery process to another in twenty minutes? These are the properties that decide whether a self-hosted service remains in production or gets abandoned after the first incident. Fancy template libraries and long integration lists help at evaluation time, but the long-term win comes from boring traits: transparent backups, predictable networking, obvious logs, and a permission model that does not require guesswork.
That is also why platform articles benefit from linking horizontally across the stack. A deployment layer does not live alone. Coolify guide is relevant whenever the real goal is reducing friction for application deploys. Dokploy guide matters when multi-node Docker or simpler PaaS ergonomics drive the decision. Gitea guide becomes part of the same conversation because source control, CI triggers, and deployment permissions are tightly coupled in practice. Treating those services as a system instead of isolated products leads to much better architecture decisions.
For teams moving from SaaS, the most reliable adoption path is phased substitution. Replace one expensive or strategically sensitive service first, document the real support burden for a month, and only then expand. This does two things. First, it keeps the migration politically survivable because there is always a rollback point. Second, it turns vague arguments about self-hosting into measured trade-offs around uptime, maintenance hours, vendor lock-in, and annual spend. A good article should push readers toward that discipline rather than implying that replacing ten SaaS products in a weekend is responsible.
Another overlooked issue is platform standardization. The more heterogeneous the stack, the more hidden cost accrues in upgrades, documentation, and debugging. When two tools solve adjacent problems, teams should prefer the one that matches their existing operational model unless the feature gap is material. That is why the best self-hosting guides talk about package boundaries, reverse proxy habits, backup patterns, and team runbooks. They are not just product recommendations. They are deployment strategy.
Most self-hosting decisions are framed as feature comparisons, but the better question is operational fit. Can the tool be upgraded without a maintenance window that panics the team? Is configuration stored as code or trapped in a UI? Are secrets rotated cleanly? Can one engineer explain the recovery process to another in twenty minutes? These are the properties that decide whether a self-hosted service remains in production or gets abandoned after the first incident. Fancy template libraries and long integration lists help at evaluation time, but the long-term win comes from boring traits: transparent backups, predictable networking, obvious logs, and a permission model that does not require guesswork.
That is also why platform articles benefit from linking horizontally across the stack. A deployment layer does not live alone. Coolify guide is relevant whenever the real goal is reducing friction for application deploys. Dokploy guide matters when multi-node Docker or simpler PaaS ergonomics drive the decision. Gitea guide becomes part of the same conversation because source control, CI triggers, and deployment permissions are tightly coupled in practice. Treating those services as a system instead of isolated products leads to much better architecture decisions.
For teams moving from SaaS, the most reliable adoption path is phased substitution. Replace one expensive or strategically sensitive service first, document the real support burden for a month, and only then expand. This does two things. First, it keeps the migration politically survivable because there is always a rollback point. Second, it turns vague arguments about self-hosting into measured trade-offs around uptime, maintenance hours, vendor lock-in, and annual spend. A good article should push readers toward that discipline rather than implying that replacing ten SaaS products in a weekend is responsible.
Another overlooked issue is platform standardization. The more heterogeneous the stack, the more hidden cost accrues in upgrades, documentation, and debugging. When two tools solve adjacent problems, teams should prefer the one that matches their existing operational model unless the feature gap is material. That is why the best self-hosting guides talk about package boundaries, reverse proxy habits, backup patterns, and team runbooks. They are not just product recommendations. They are deployment strategy.
Most self-hosting decisions are framed as feature comparisons, but the better question is operational fit. Can the tool be upgraded without a maintenance window that panics the team? Is configuration stored as code or trapped in a UI? Are secrets rotated cleanly? Can one engineer explain the recovery process to another in twenty minutes? These are the properties that decide whether a self-hosted service remains in production or gets abandoned after the first incident. Fancy template libraries and long integration lists help at evaluation time, but the long-term win comes from boring traits: transparent backups, predictable networking, obvious logs, and a permission model that does not require guesswork.
That is also why platform articles benefit from linking horizontally across the stack. A deployment layer does not live alone. Coolify guide is relevant whenever the real goal is reducing friction for application deploys. Dokploy guide matters when multi-node Docker or simpler PaaS ergonomics drive the decision. Gitea guide becomes part of the same conversation because source control, CI triggers, and deployment permissions are tightly coupled in practice. Treating those services as a system instead of isolated products leads to much better architecture decisions.
For teams moving from SaaS, the most reliable adoption path is phased substitution. Replace one expensive or strategically sensitive service first, document the real support burden for a month, and only then expand. This does two things. First, it keeps the migration politically survivable because there is always a rollback point. Second, it turns vague arguments about self-hosting into measured trade-offs around uptime, maintenance hours, vendor lock-in, and annual spend. A good article should push readers toward that discipline rather than implying that replacing ten SaaS products in a weekend is responsible.
Another overlooked issue is platform standardization. The more heterogeneous the stack, the more hidden cost accrues in upgrades, documentation, and debugging. When two tools solve adjacent problems, teams should prefer the one that matches their existing operational model unless the feature gap is material. That is why the best self-hosting guides talk about package boundaries, reverse proxy habits, backup patterns, and team runbooks. They are not just product recommendations. They are deployment strategy.
