Panel
A Python framework for building interactive data exploration and web applications
- Also known as
- panel
What is Panel?
A Python library for creating interactive dashboards and web applications where widgets, plots, and layouts are implemented as standard Python objects that integrate with your data and models.
Panel pricing
We don't have Panel's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Panel does
The capabilities that matter for data apps internal tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Build paradigm
- Code first python
- Write actions support
- -
- Data source connector breadth
- -
- Reactivity model
- Callback based
- Self hostable
- ✓
- Managed cloud available
- -
- Git version control
- -
- RBAC SSO
- -
- Audit logging
- -
- AI app generation
- -
- Multiplayer editing
- -
- Embeddable output
- ✓
- Component library breadth
- Extensive
- Open source
- ✓
- Pricing model
- Open source self host
Platform & deployment
Independently observed- Web
- Self-hosted
Integrations (8)
Independently observed- FastAPI
- Bokeh
- Tornado
- HoloViews
- Plotly
- Vega
- Django
- React
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Panel FAQ
Common questions about Panel, answered from independent, dated evidence.
What is Panel?
An open-source Python library that streamlines development of interactive dashboards, data tools, and web applications with reactive APIs, integrated widgets, and seamless PyData ecosystem compatibility. It is indexed under Data Apps Internal Tools.
Source: https://panel.holoviz.org
Is Panel free to use?
Panel is open source, so it can be self-hosted and used at no licence cost. It is released under the BSD-3-Clause licence. Pricing changes often, so verify at source before relying on it.
Source: https://panel.holoviz.org
What platforms does Panel support?
Panel supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://panel.holoviz.org
Can Panel be self-hosted?
Yes. Panel can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://panel.holoviz.org
What does Panel integrate with?
We have confirmed 8 integrations for Panel, including FastAPI, Bokeh, Tornado, HoloViews, Plotly, Vega, Django and React. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://panel.holoviz.org
Is Panel open source?
Yes. Panel is published under the BSD-3-Clause licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Source: https://github.com/holoviz/panel
Panel alternatives
Other data apps internal tools we track, ranked by the same independent score.
- ToolJetVisual platform for building internal dashboards and data applications without traditional development overheadmedium · 56%
- SuperblocksLow-code platform for building AI-powered enterprise applications with centralized governance and security controlsmedium · 55%
- StreamlitConvert Python scripts into interactive web applications in minutes without requiring front-end development skillsmedium · 55%
- Observable FrameworkA JavaScript-based framework for creating interactive data applicationslow · 29%
- Plotly Dashlow · 30%
Compare Panel
Side by side against other data apps internal tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Panel, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 60 | 0.12 | 7.2 | ✓ |
| Release cadence | 93 | 0.07 | 6.3 | ✓ |
| Capabilities | 58 | 0.08 | 4.8 | ✓ |
| Dependent projects | 50 | 0.08 | 4.0 | ✓ |
| Security score | 68 | 0.05 | 3.6 | ✓ |
| Stars | 71 | 0.03 | 2.3 | ✓ |
| Integrations | 27 | 0.05 | 1.5 | ✓ |
| Security posture | 0 | 0.09 | 0.0 | - |
| Package downloads | 0 | 0.17 | 0.0 | - |
| Developer Q&A activity | 0 | 0.08 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 78 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source: Yes · Pricing model: open_source_self_host · Self hostable: Yes · Build paradigm: code_first_python · Reactivity model: callback_based · Embeddable output: Yes | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-08-20 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-14 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | BSD-3-Clause | highsource · 2026-10-14 · 95% |
Pricing
Release
Security
Is Panel the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Panel against the rest of the data apps internal tools we index, using the same dated evidence weighted your way.
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