Feathr

A Jekyll theme for building searchable documentation websites with extensive customization

Also known as
feathr

What is Feathr?

An open-source Jekyll theme designed to help you create responsive documentation sites with built-in search capabilities and broad customization options.

Independently observed

Feathr pricing

We don't have Feathr'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 Feathr does

The capabilities that matter for feature stores, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Point in time correctness
✓
Feature registry catalog
✓
Streaming features
✓
On demand transforms
✓
Deployment model
Self hosted
Drift monitoring
✓
Embeddings vector support
✓
Multi cloud
✓
RBAC governance
✓
Lineage tracking
✓
Pricing model
Open source self host
Independently observed

Platform & deployment

Independently observed
Platforms
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (6)

Independently observed
  • Databricks
  • Azure Synapse
  • HDFS
  • Snowflake
  • PySpark
  • Spark SQL

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Feathr FAQ

Common questions about Feathr, answered from independent, dated evidence.

What is Feathr?

A data engineering framework that enables teams to build feature transformations, register and catalog them centrally, and compute them correctly for AI training and production inference. It provides batch and streaming feature computation with integration to Databricks, Azure Synapse, and other data platforms. It is indexed under Feature Stores.

Source: https://feathr-ai.github.io/feathr/

Is Feathr free to use?

Feathr is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://feathr-ai.github.io/feathr/

What platforms does Feathr support?

Feathr supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://feathr-ai.github.io/feathr/

Can Feathr be self-hosted?

Yes. Feathr can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://feathr-ai.github.io/feathr/

What does Feathr integrate with?

We have confirmed 6 integrations for Feathr, including Databricks, Azure Synapse, HDFS, Snowflake, PySpark and Spark SQL. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://feathr-ai.github.io/feathr/

Is Feathr open source?

Yes. Feathr is published under the Apache-2.0 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/feathr-ai/feathr

Feathr alternatives

Other feature stores we track, ranked by the same independent score.

All Feathr alternatives, ranked →

Compare Feathr

Side by side against other feature stores, attribute by attribute, with a source on every value.

Independent · unbought · dated

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 Feathr, not the verdict.

Balanced composite 46 / 100
low · 33%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities960.087.7✓
Release cadence880.087.1✓
Stars620.052.9✓
Integrations240.051.3✓
Dependent projects50.050.3✓
Development activity00.140.0✓
Security posture00.120.0-
Package downloads00.040.0-
Security score00.050.0-
Developer Q&A activity00.140.0-

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

AttributeValueEvidence
Commits last 30d0mediumsource · 2026-10-13 · 65%

Adoption

AttributeValueEvidence
Github stars1,945highsource · 2026-10-13 · 90%
Dependent repos1highsource · 2026-10-13 · 85%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesMulti cloud: Yes · Pricing model: open-source-self-host · Rbac governance: Yes · Deployment model: self-hosted · Drift monitoring: Yes · Lineage tracking: Yesmediumsource · 2026-08-21 · 60%

Integrations

AttributeValueEvidence
Count6mediumsource · 2026-08-21 · 60%

Language

AttributeValueEvidence
PrimaryScalahighsource · 2026-10-13 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-13 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-13 · 60%
Price levelfreemediumsource · 2026-10-13 · 60%
TransparentYesmediumsource · 2026-10-13 · 60%
Modelopen_sourcemediumsource · 2026-10-13 · 60%

Release

AttributeValueEvidence
Cadence days22mediumsource · 2026-10-13 · 70%
History15 itemsmediumsource · 2026-10-13 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=feathr&per_page=100 · Last 12m: 0highsource · 2026-10-13 · 90%
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Last updated . Canonical URI: https://www.vioscale.ai/software/feathr.