Activepieces vs Valohai
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
| Dimension | Activepieces | Valohai |
|---|---|---|
| Accuracy & Reliability | — | |
| Ease of Use | — | |
| Features & Capability | — | |
| Value for Money | — | |
| Performance & Speed | — | |
| Popularity & Adoption | — |
Who each tool serves best — and when to pick the other one.
Developers and startups who need customizable, self-hosted workflow automation with open-source transparency.
- You want to build and customize workflows with full access to source code and infrastructure
- You need to self-host automation for privacy or compliance reasons
- Your team has developer resources to manage and extend automation workflows
Non-technical users or teams seeking plug-and-play automation without setup or maintenance effort.
- You need a simple, no-code automation tool with minimal setup
- Free-tier limits are a blocker for your automation scale or complexity
- You require extensive pre-built integrations and enterprise support
Open-source and self-hosting capabilities for full control over automation workflows.
This tool is perfect for medium to large data science teams focused on reproducibility and automation.
- You need to automate your ML workflows for efficiency.
- You want to ensure reproducibility in your experiments.
- Your team requires strong provenance tracking for models.
Skip this tool if you are a small team or need a simple, user-friendly interface.
- You need a simple tool for quick ML tasks.
- Free-tier limits are a blocker for your projects.
- You require extensive customer support and training.
The most important deciding factor is the need for robust workflow automation in ML projects.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | Activepieces | Valohai |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
✓ | — |
Each tool's marketing-listed features. Where a feature appears under one tool but not the other, it usually reflects how the vendor describes their product — not a definitive capability gap.
- Open-Source Platform — Full access to source code and self-hosting
- Workflow builder — Visual drag-and-drop editor for automations
- Integrations — Supports multiple app connectors
- Self-hosting — Deploy on your own infrastructure
- Team collaboration — Shared workflows and permissions
- Workflow Automation — Automate ML workflows for efficiency
- Reproducibility Tracking — Ensure experiments can be reproduced
- Model deployment — Facilitate seamless model deployment
- Collaboration Tools — Support team collaboration on projects
- Integration Support — Integrate with various data sources
- Open-source with community contributions
- Self-hosting ensures data privacy and control
- Flexible and extensible workflow builder
- Good for developers and technical users
- Transparent and customizable platform
- Robust automation features
- Focus on reproducibility
- Strong support for data science teams
- Scalable for enterprise needs
- Good integration capabilities
- Requires technical skills to deploy and maintain
- Limited integrations compared to commercial SaaS
- No official mobile app or native cloud SaaS offering
- Complex user interface
- No free tier available
- Automate data sync between business apps
- Build custom notification workflows
- Integrate APIs without coding
- Create event-driven automation pipelines
- Self-host workflows for compliance
- Automating ML model training
- Tracking experiment results
- Collaborating on data science projects
- Deploying models into production
No third-party integrations confirmed.
Natural languages each tool generates and understands. Primary languages are listed first.
What each tool can accept (input) and produce (output) — text, image, audio, video, code.
Offers a free tier with basic features and paid plans for advanced capabilities and team collaboration.
-
Free
Free
Valohai offers enterprise pricing tailored to the needs of larger organizations, with no publicly listed prices.
-
Custom (Contact sales)
Custom pricing
Regulatory frameworks each tool claims compliance with (HIPAA, SOC 2, GDPR, etc.).
Vendor-published numbers each tool highlights — usage scale, breadth, and operational stats. Different tools track different metrics, so direct row-by-row comparison usually isn't meaningful.
- Open-source Yes
No metrics published.
Languages, frameworks, databases, and infrastructure each tool is built on. Mostly relevant for self-hosted or open-source tools.
Stack not disclosed.
Who each tool is positioned for — primary audience first.
How you can reach support — email, live chat, phone, community, docs.
- Documentation primary visit ↗
- Email primary
How each tool is classified in the Volvenix catalog.
These vocabulary domains are managed in our catalog but not yet exposed at the tool level. We're tracking them for future expansion of this comparison.
- Encryption Types — AES-256, ChaCha20, RSA-2048, and similar at-rest/in-transit cipher families.
- Encryption Contexts — where encryption is applied (data at rest, in transit, end-to-end).
- Plan-tier Model Mapping — which AI models are available on which pricing tier (currently only the model list is tracked, not the per-plan availability).
- What is this tool?
- Activepieces is an open-source workflow automation platform designed for developers and startups to build custom automations.
- How much does it cost?
- Activepieces offers a free tier with basic features and paid plans for advanced capabilities and team use.
- Does it have a free plan?
- Yes, there is a free plan available with limited features suitable for individuals.
- What integrations does it support?
- It supports multiple app integrations, though fewer than some commercial automation platforms.
- Who is it best for?
- It is best suited for developers and startups needing customizable, self-hosted workflow automation.
- What is this tool?
- Valohai is a platform for automating ML workflows and ensuring reproducibility.
- How much does it cost?
- Valohai offers enterprise pricing tailored to organizational needs.
- Does it have a free plan?
- No, Valohai does not offer a free plan.
- What integrations does it support?
- Valohai supports various integrations for data sources.
- Who is it best for?
- It is best for medium to large data science teams.
| Info | Activepieces | Valohai |
|---|---|---|
| Pricing | Freemium | Enterprise |
| Category | AI Agents & Automation | AI Agents & Automation |
| Deployment | Self-hosted | Cloud |
| Learning Curve | Intermediate | Advanced |
| Free Plan | ✓ | ✗ |
| AI Agent | ✓ | ✗ |
| Autonomy | Assistant | Agent |
| Risk Tier | Medium | High |
| BYO API Key | ✓ | — |
| Local Models | ✗ | — |
| Fine-tuning | ✗ | — |
Valohai and Activepieces have similar overall scores, with Valohai rated 5.2/10 and Activepieces slightly higher at 5.3/10. Valohai targets enterprise users with a pricing model suited for larger organizations, while Activepieces offers a freemium pricing structure that allows individual users and smaller teams to access basic features at no cost. Valohai is typically used for scalable machine learning operations and automation in enterprise environments, whereas Activepieces focuses on workflow automation with an accessible entry point for users seeking cost-effective or no-cost solutions.
ⓘ How Volvenix scores work
Scores are computed by Volvenix — not supplied by the vendors, and not third-party benchmark results. Each 0–10 dimension (Overall, Features, Usability, Support, Pricing) is a directional estimate aggregated from catalog signals — editorial cataloguing, content depth, engagement, and provider-reputation indicators — so treat them as a starting point, not a lab result.
Confidence reflects how complete the underlying data is for both tools; lower confidence means fewer signals were available, not a worse tool. We never accept payment for rankings or scores. More about how Volvenix works →