Best Open-Source Looker Alternatives (2026)
18 self-hostable, open-source projects that replace Looker — without enterprise-only pricing. Each is scored for how hard it is to self-host, with one-click deploy options where they exist.
Looker is gated behind enterprise sales and Google Cloud platform fees, so there's no realistic small-team entry point, and its LookML modeling layer ties your metric definitions to the platform. Teams leave for predictable, per-seat-free pricing and the ability to keep their semantic layer and dashboards in their own infrastructure.
Our picks at a glance
Difficulty 2/5 with One-Click and Docker deploys, the lowest-friction setup of the BI options here.
The most feature-complete OSS BI app, with a broad connector set, SQL Lab, and fine-grained dashboard controls at 73k stars.
Highest momentum of the Looker alternatives at 73k stars under an Apache-2.0 license.
Offers official managed hosting and is the closest match to Looker's modeling approach via its dbt-based semantic layer.
Compare all 18 alternatives
Tap a column header to sort| Project | Deploy | Managed | License | ||||
|---|---|---|---|---|---|---|---|
Apache Superset TypeScript | 73k ★ | 3/5 Moderate | Docker Docker Compose +2 | Apache-2.0 | 2 days ago | Repo | |
Metabase Clojure | 48k ★ | 2/5 Easy | One-Click Docker +3 | AGPL-3.0 | 2 days ago | Repo | |
Glance Docker | 35k ★ | 2/5 Easy | Docker Docker Compose +1 | AGPL-3.0 | 21 days ago | Repo | |
Homepage by gethomepage Docker | 31k ★ | 2/5 Easy | Docker Docker Compose +1 | GPL-3.0 | 5 days ago | Repo | |
Redash Python | 29k ★ | 3/5 Moderate | Docker Docker Compose +2 | BSD-2-Clause | 6 days ago | Repo | |
Dashy Nodejs | 25k ★ | 2/5 Easy | Docker Docker Compose +1 | MIT | 4 days ago | Repo | |
Homer Docker | 11k ★ | 2/5 Easy | Docker Docker Compose +1 | Apache-2.0 | 4 days ago | Repo | |
Heimdall PHP | 9.2k ★ | 2/5 Easy | Docker Docker Compose +1 | MIT | 7 months ago | Repo | |
Evidence JavaScript | 6.5k ★ | 2/5 Easy | Docker Manual +1 | MIT | 4 months ago | Repo | |
Lightdash TypeScript | 5.9k ★ | 3/5 Moderate | Docker Docker Compose +2 | Apache-2.0 | 2 days ago | Repo | |
Your Spotify Nodejs | 4.5k ★ | 3/5 Moderate | Docker Docker Compose | MIT | 22 days ago | Repo | |
Homarr Docker | 4.1k ★ | 3/5 Moderate | Docker Docker Compose | MIT | 2 days ago | Repo | |
| 4k ★ | 3/5 Moderate | Docker Docker Compose +1 | MIT | 3 days ago | Repo | ||
LinkStack PHP | 3.6k ★ | 2/5 Easy | Docker Docker Compose +1 | AGPL-3.0 | 12 days ago | Repo | |
ryot Docker | 3.4k ★ | 3/5 Moderate | Docker Docker Compose | GPL-3.0 | 3 days ago | Repo | |
LittleLink Javascript | 3k ★ | 1/5 Effortless | Manual | MIT | 4 months ago | Repo | |
Rill Go | 2.7k ★ | 3/5 Moderate | Docker Manual +1 | Apache-2.0 | 2 days ago | Repo | |
DataLens TypeScript | 1.7k ★ | 3/5 Moderate | Docker Compose Kubernetes +1 | Apache-2.0 | 6 days ago | Repo |
What to look for: Decide whether you want a code-based semantic layer (LookML's closest analog is dbt-driven tooling) or a point-and-click explorer, and check that the connectors cover your warehouse (BigQuery, Snowflake, Redshift, Postgres). Embedding, row-level permissions, and a maintained governance/caching story matter most when replacing Looker rather than just plotting charts.
The alternatives, reviewed
- #1
Apache SupersetSelf-host: ModerateEnterprise-ready BI web app for data exploration and dashboards
73k TypeScript Apache-2.0 2 days agoHow it compares to Looker
- No native desktop authoring app like Tableau Desktop; all work happens in the browser
- Visualization customization is less polished and flexible than Tableau's drag-and-drop canvas
- No built-in semantic/modeling layer comparable to Looker's LookML (relies on external tools)
- Steeper learning curve and heavier infrastructure (Celery, Redis, metadata DB) for production
- #2
MetabaseSelf-host: EasyEasy-to-use open-source BI and embedded analytics for everyone
48k Clojure AGPL-3.0 2 days agoHow it compares to Looker
- Advanced data modeling, row-level security, and SSO are gated behind the paid Pro/Enterprise editions
- Charting and visualization depth is more limited than Tableau or Power BI
- No deep semantic modeling layer like Looker's LookML
- Performance can degrade on very large datasets without careful tuning or caching
- #3
GlanceSelf-host: EasyHighly customizable dashboard that puts all your feeds in one place
35k Docker AGPL-3.0 21 days agoHow it compares to Looker
- No built-in database or persistent data store; purely a read/aggregation layer
- No multi-user support or access control
- No data source connectors for business databases or warehouses (unlike Tableau/Power BI)
- No interactive charts, pivot tables, or drill-down analytics
- #4
Homepage by gethomepageSelf-host: EasyHighly customizable application dashboard with Docker and service API integrations
31k Docker GPL-3.0 5 days agoHow it compares to Looker
- No analytics, charting, or data visualization beyond service status widgets
- No multi-user authentication or role-based access control
- Configuration is file-only; no web-based GUI for editing
- No alerting or notification system for service downtime
- #5
RedashSelf-host: ModerateConnect, query, visualize, and share data from any SQL or NoSQL source
29k Python BSD-2-Clause 6 days agoHow it compares to Looker
- SQL-centric: limited value for non-technical users versus Tableau/Power BI drag-and-drop
- Visualization variety and interactivity are basic compared to leading commercial BI
- No semantic modeling layer and limited governance/RBAC features
- Development pace slowed for a period after the Databricks acquisition; community-driven releases
- #6
DashySelf-host: EasyFeature-rich homelab homepage with easy YAML configuration and a polished UI
25k Nodejs MIT 4 days agoHow it compares to Looker
- No analytical data visualization, BI queries, or database connectivity
- Multi-user support is basic; no proper RBAC or team workspaces
- Service auto-discovery requires manual YAML entries; no Docker auto-detection like Homepage
- Not suitable for business reporting or data-driven dashboards
- #7
HomerSelf-host: EasyDead simple static homepage to expose your server services via YAML config
11k Docker Apache-2.0 4 days agoHow it compares to Looker
- Extremely minimal: no service widgets, no data pulled from APIs beyond ping checks
- No built-in authentication or user management
- No analytics, charts, or data visualization features
- Configuration is file-only with no web UI editor
- #8
HeimdallSelf-host: EasyElegant PHP application dashboard to organise all your web applications
9.2k PHP MIT 7 months agoHow it compares to Looker
- No business analytics, charts, or data visualization
- No native multi-user support with role-based access
- Enhanced App integrations limited to a pre-defined list with no custom plugin API
- No alerting or on-call escalation for service outages
- #9
EvidenceSelf-host: EasyCode-based BI: build data reports and dashboards with SQL and Markdown
6.5k JavaScript MIT 4 months agoHow it compares to Looker
- Code-first workflow excludes non-technical, point-and-click business users
- Not designed for interactive ad-hoc exploration; reports are authored, not browsed freely
- No drag-and-drop visual builder or pivot-table exploration like Tableau/Power BI
- Limited governance, permissions, and live-querying features compared to enterprise BI
- #10
LightdashSelf-host: ModerateBI layer on top of your dbt project with a built-in semantic layer
5.9k TypeScript Apache-2.0 2 days agoHow it compares to Looker
- Requires a dbt project; not usable as a standalone BI tool without dbt modeling
- Smaller chart/visualization library than Tableau or Power BI
- Some governance, embedding, and enterprise features are reserved for the paid cloud tiers
- Younger ecosystem with fewer connectors and a smaller community than the incumbents
- #11
Your SpotifySelf-host: ModerateRecord your Spotify listening history and explore personal statistics via a web app
4.5k Nodejs MIT 22 days agoHow it compares to Looker
- Limited to Spotify data only; no support for other music services
- Requires setting up a Spotify developer app and OAuth credentials
- No custom alerting, reports, or data export features
- MongoDB dependency adds operational overhead compared to simpler dashboards
- #12
HomarrSelf-host: ModerateSleek, modern homelab dashboard with rich integrations and drag-and-drop web config
4.1k Docker MIT 2 days agoHow it compares to Looker
- No BI-style data visualization, SQL queries, or chart-building features
- v1.x migration from v0.x requires manual data migration steps
- Integration library narrower than proprietary enterprise dashboards
- No alerting or on-call notification system built in
- #13
Personal Management SystemSelf-host: ModerateAll-in-one personal organizer: to-dos, notes, finances, goals, and schedules
4k Docker MIT 3 days agoHow it compares to Looker
- No multi-user or team collaboration features; strictly single-user
- No mobile-native app; web UI is not optimized for small screens
- Limited data visualization; no charts or analytics beyond basic lists
- Maintenance is community-driven with infrequent releases
- #14
LinkStackSelf-host: EasySelf-hosted Linktree alternative: customizable link-in-bio pages with admin UI
3.6k PHP AGPL-3.0 12 days agoHow it compares to Looker
- Focused solely on link-in-bio pages; no analytics, BI, or data dashboard features
- Link click analytics are basic; no funnel analysis or cohort tracking
- No built-in email notifications or scheduling
- Custom domain per-user requires additional reverse-proxy configuration
- #15
ryotSelf-host: ModerateTrack your media, fitness, and life facets in one self-hosted application
3.4k Docker GPL-3.0 3 days agoHow it compares to Looker
- No business analytics or arbitrary data source connectivity
- No mobile native app; relies on Progressive Web App
- Social/sharing features are limited compared to Goodreads or Letterboxd
- No collaborative or multi-household tracking support
- #16
LittleLinkSelf-host: EffortlessSimplistic static link-in-bio page with 100+ branded social buttons
3k Javascript MIT 4 months agoHow it compares to Looker
- No admin UI; all edits require direct HTML file editing
- No click analytics or visit tracking built in
- Single-user only; no multi-user or CMS capabilities
- No dynamic content, forms, or integrations
- #17
RillSelf-host: ModerateFast operational BI with embedded OLAP for interactive dashboards
2.7k Go Apache-2.0 2 days agoHow it compares to Looker
- Narrower visualization set than Tableau/Power BI, focused on time-series and metrics dashboards
- Dashboards are defined in code/YAML, less approachable for non-technical authors
- Smaller connector ecosystem; centered on OLAP engines like DuckDB and ClickHouse
- Younger project with a smaller community and fewer enterprise governance features
- #18
DataLensSelf-host: ModerateYandex's open-source BI and data visualization system
1.7k TypeScript Apache-2.0 6 days agoHow it compares to Looker
- Ships with a limited set of connectors (ClickHouse, PostgreSQL) compared to commercial BI
- Documentation and community are smaller and partly Russian-language oriented
- Multi-service architecture makes self-hosting more involved than lightweight alternatives
- Fewer advanced governance, modeling, and enterprise integrations than Tableau/Power BI
The verdict
For most teams replacing Looker, Metabase is the fastest path to live dashboards; if you want Looker's LookML-style governed semantic layer, Lightdash on top of dbt is the closest philosophical match, and Superset is the pick when you need maximum BI power.
Looker alternatives — frequently asked questions
Is there a free open-source alternative to Looker?
Yes. Metabase (AGPL-3.0), Apache Superset (Apache-2.0), Redash (BSD-2-Clause), Evidence (MIT), Lightdash (Apache-2.0), Rill (Apache-2.0), and DataLens (Apache-2.0) are all free to self-host.
Which Looker alternative is easiest to self-host?
Metabase, rated difficulty 2/5 with One-Click and Docker deploy options. Evidence is also 2/5 if you prefer a code-based, SQL-plus-Markdown workflow.
What replaces Looker's LookML semantic layer?
Lightdash is the closest fit: it builds a BI layer with a semantic layer directly on top of your dbt project, so your metric definitions live in version-controlled code like LookML.
Which of these offers managed hosting if I don't want to self-host?
Metabase, Evidence, Lightdash, Rill, and DataLens all offer a managed option. Apache Superset and Redash are self-host only.
Can I connect these to BigQuery or Snowflake like Looker?
Yes. Superset, Metabase, and Redash all connect to standard warehouses including BigQuery, Snowflake, Redshift, and Postgres via SQL; Lightdash and Evidence work off your dbt/warehouse models.
Which is best for embedded analytics?
Metabase is built for easy embedded analytics, and Superset also supports embedding dashboards; both let you put governed charts inside your own product.