Panther vs Sigma and pySigma
Panther totals 6.31 and Sigma and pySigma totals 5.50 on the 10 point detection-as-code rubric (sources read 2026-11-03 and 2026-11-04). Panther leads by 0.81 points. The pair turns on testing: Panther documents it in full, and Sigma and pySigma publish nothing on it.
The difference that decides this pair
The largest weighted gap on the rubric is testing: Panther scores 8.0 against 4.0 for Sigma and pySigma, which is 0.60 of the 10 point total.
On testing, Panther runs per-detection unit tests with panther_analysis_tool test and previews a rule on stored logs with Data Replay (Beta), while Sigma and pySigma document no rule testing in the pages read. docs.panther.com read 2026-11-03 github.com read 2026-11-04
Rubric side by side
Panther totals 6.31 and Sigma and pySigma totals 5.50 out of 10.
Rubric criteria for Panther and Sigma and pySigma, scores out of 10. A plus marks a criterion where Sigma and pySigma scores higher, a minus where Panther does.
| Marker | Criterion | Weight | Panther | Sigma and pySigma |
|---|---|---|---|---|
| + | Rule languages and conversion paths | 15 | 8.0 | 8.5 |
| - | Git-native workflow and CI/CD | 18 | 9.0 | 6.0 |
| - | Testing | 15 | 8.0 | 4.0 |
| Coverage analytics | 12 | 5.0 | 5.0 | |
| - | Rule health | 18 | 3.5 | 2.0 |
| - | Versioning and rollback | 8 | 6.0 | 5.0 |
| + | Content library size and freshness | 8 | 5.0 | 8.0 |
| + | Pricing transparency | 6 | 3.0 | 9.0 |
| Total | 100 | 6.31 | 5.50 |
The 33 capabilities as a diff
Read it as a diff from Panther to Sigma and pySigma: 24 of 33 rows differ. A plus marks a row where Sigma and pySigma documents more (8 rows), a minus a row where Panther documents more (16 rows). Rows with no marker match.
Capability rows for Panther and Sigma and pySigma, grouped. Changed rows are shaded and carry a marker.
| Marker | Capability | Panther | Sigma and pySigma |
|---|---|---|---|
| Languages | |||
| Sigma and pySigma documents more | Sigma native | not documented | documented |
| Sigma conversion | documented | documented | |
| Sigma and pySigma documents more | YARA-L | not documented | partial |
| Sigma and pySigma documents more | SPL | not documented | documented |
| Sigma and pySigma documents more | KQL | not documented | documented |
| Sigma and pySigma documents more | EQL or ES|QL | not documented | documented |
| Panther documents more | Python | documented | not documented |
| Panther documents more | Visual builder | documented | not documented |
| YARA | not documented | not documented | |
| Sigma and pySigma documents more | Lucene or KQL-like | partial | documented |
| Source control and CI | |||
| Panther documents more | Git sync | documented | not documented |
| Panther documents more | PR deploy | documented | not documented |
| Panther documents more | CLI | documented | partial |
| Panther documents more | Rule API | documented | not documented |
| Panther documents more | CI examples | documented | partial |
| Env promotion | not documented | not documented | |
| Testing | |||
| Panther documents more | Unit tests | documented | not documented |
| Panther documents more | Replay | documented | not documented |
| Synthetic events | not documented | not documented | |
| Panther documents more | Backtest reports | partial | not documented |
| Test coverage | not documented | not documented | |
| Coverage analytics | |||
| ATT&CK map | documented | documented | |
| Panther documents more | Gap view | documented | not documented |
| Panther documents more | Data sources | partial | not documented |
| Panther documents more | Log source health | partial | not documented |
| Rule health | |||
| Noisy rules | not documented | not documented | |
| Panther documents more | Broken rules | documented | not documented |
| Panther documents more | Field drift | partial | not documented |
| Panther documents more | Rule cost | partial | not documented |
| Sigma and pySigma documents more | Lifecycle | not documented | documented |
| Library | |||
| Sigma and pySigma documents more | Library count | partial | documented |
| Community | documented | documented | |
| Cadence | partial | partial | |
documentedpartialnot documented
Sources for the rows that differ
- Sigma native (Sigma and pySigma documents more). Panther: not documented, No page read for this platform names this feature docs.panther.com read 2026-11-03. Sigma and pySigma: documented, Sigma rule format and 'Sigma Rules Specification', including 'Correlations' sigmahq.io read 2026-11-03.
- YARA-L (Sigma and pySigma documents more). Panther: not documented, No page read for this platform names this feature docs.panther.com read 2026-11-03. Sigma and pySigma: partial, Google SecOps backend converts to 'UDM searches and YARA-L 2.0 detection rules'; listed with status Development sigmahq.io read 2026-11-03.
- SPL (Sigma and pySigma documents more). Panther: not documented, No page read for this platform names this feature docs.panther.com read 2026-11-03. Sigma and pySigma: documented, Splunk backend listed under Backends sigmahq.io read 2026-11-03.
- KQL (Sigma and pySigma documents more). Panther: not documented, No page read for this platform names this feature docs.panther.com read 2026-11-03. Sigma and pySigma: documented, 'Kusto' backend: Kusto Query Language (KQL) backend, status Stable sigmahq.io read 2026-11-03.
- EQL or ES|QL (Sigma and pySigma documents more). Panther: not documented, No page read for this platform names this feature docs.panther.com read 2026-11-03. Sigma and pySigma: documented, Elasticsearch backend converts to 'Lucene, ES|QL (with correlations) and EQL queries' sigmahq.io read 2026-11-03.
- Python (Panther documents more). Panther: documented, 'Writing Python Detections'; rules, policies and scheduled rules docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Visual builder (Panther documents more). Panther: documented, 'Using the Simple Detection Builder' and 'AI Detection Builder (Beta)' in the Console docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Lucene or KQL-like (Sigma and pySigma documents more). Panther: partial, 'PantherFlow (Beta)' is a pipelined query language for search; detection use not confirmed docs.panther.com read 2026-11-03. Sigma and pySigma: documented, Elasticsearch backend outputs Lucene queries sigmahq.io read 2026-11-03.
- Git sync (Panther documents more). Panther: documented, 'Using panther-analysis' repo setup and 'Setting Up the Panther GitHub App (Beta)' docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- PR deploy (Panther documents more). Panther: documented, 'Managing Panther Content via GitHub Actions': automate testing and upload from the repo to the Console docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- CLI (Panther documents more). Panther: documented, Panther Analysis Tool commands test, validate, zip, upload, delete docs.panther.com read 2026-11-03. Sigma and pySigma: partial, sigma-cli: convert, list, plugin install; pySigma 'Validating Sigma Rules'; no deploy step sigmahq-pysigma.readthedocs.io read 2026-11-03.
- Rule API (Panther documents more). Panther: documented, PAT upload and delete use the Panther API; API token required in the CI workflow docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- CI examples (Panther documents more). Panther: documented, Workflow YAML for GitHub Actions and CircleCI; no GitLab CI page in the docs index docs.panther.com read 2026-11-03. Sigma and pySigma: partial, Sigma repo's own GitHub Actions 'Sigma Rule Tests' (yamllint, logsource tests); not a deploy pipeline raw.githubusercontent.com read 2026-11-03.
- Unit tests (Panther documents more). Panther: documented, 'Testing': unit tests with test events and expected alert outcome; Panther sets no minimum number of tests docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Replay (Panther documents more). Panther: documented, 'Data Replay (Beta)': test rules against historical log data before enabling docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Backtest reports (Panther documents more). Panther: partial, Data Replay previews a rule's outcome on real data; saved report not described docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Gap view (Panther documents more). Panther: documented, MITRE ATT&CK tab on the Dashboard shows Covered, Partially Covered, Not Relevant per technique docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Data sources (Panther documents more). Panther: partial, ATT&CK matrix coverage states reference onboarded log sources; no separate source coverage view docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Log source health (Panther documents more). Panther: partial, 'Monitoring Log Sources' shows unhealthy sources and drop-off alarms; not linked to the rules that use them docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Broken rules (Panther documents more). Panther: documented, 'Rule errors and scheduled rule errors' raised when detection code raises or a scheduled rule runs over 15 seconds docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Field drift (Panther documents more). Panther: partial, System Errors include 'Log Classification Errors' for logs that fail schemas; not tied to rule fields docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Rule cost (Panther documents more). Panther: partial, PAT 'benchmark' performance-tests one rule against a log type before deploy; no runtime telemetry described docs.panther.com read 2026-11-03. Sigma and pySigma: not documented, No page read for this platform names this feature raw.githubusercontent.com read 2026-11-03.
- Lifecycle (Sigma and pySigma documents more). Panther: not documented, No page read for this platform names this feature docs.panther.com read 2026-11-03. Sigma and pySigma: documented, Rule 'status': stable, test, experimental, deprecated, unsupported raw.githubusercontent.com read 2026-11-03.
- Library count (Sigma and pySigma documents more). Panther: partial, 'Using Panther-managed Detections' describes out-of-the-box Python detections; no count on page docs.panther.com read 2026-11-03. Sigma and pySigma: documented, Main repo 'offers more than 3000 detection rules' (SigmaHQ is not a vendor; counted as the maintained library) raw.githubusercontent.com read 2026-11-03.
Verdict by buyer type
Which of the two fits each kind of team.
| Buyer | Verdict |
|---|---|
| Microsoft Sentinel estate | Sigma and pySigma is the better fit: they convert Sigma to KQL through its Kusto backend, listed as Stable; Panther documents no Sentinel path. |
| Elastic estate | Sigma and pySigma is the better fit: they convert Sigma to Lucene, ES|QL and EQL through its Elasticsearch backend; Panther documents no Elastic path. |
| Splunk estate | Sigma and pySigma is the better fit: they convert Sigma to SPL through its Splunk backend; Panther documents no Splunk path. |
| Google SecOps estate | Sigma and pySigma is the only one of the pair with any stated route: they have a Google SecOps backend that its backend list marks as Development; Panther documents no Google SecOps path. |
| a team starting from scratch with Sigma | Both document a route: Panther converts Sigma with sigma-cli into Python or Simple detections and tests them in CI, and Sigma and pySigma are the format itself and converts it to Splunk, Kusto and Elasticsearch targets, with no runtime, tests or health checks, so the difference above decides. |
When to pick each
Panther: Pick Panther when testing is the deciding need: it runs per-detection unit tests with panther_analysis_tool test and previews a rule on stored logs with Data Replay (Beta). It also leads on CI and deployment.
Sigma and pySigma: Pick Sigma and pySigma when library size is the deciding need: they offer more than 3,000 community rules. They also lead on published pricing.
Profiles: Panther, Sigma and pySigma. Alternatives: to Panther, to Sigma and pySigma.