Bencher

v0.6.10 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 8d Pipelines

✓ No known CVEs patched

✓ No known CVEs patched in this version

Topics

benchmark benchmarking ci-cd code-quality continuous-benchmarking performance

Summary

AI summary

Add Y‑Axis scale toggle (Auto, Linear, Log) to perf plots and introduce Bencher MCP hosted server

Type	Severity	Summary	CVE
Feature
Feature	Medium	Adds Y-Axis scale toggle to perf plots with Auto, Linear, Log modes Adds Y-Axis scale toggle to perf plots with Auto, Linear, Log modes Source: llm_adapter@2026-07-18 Confidence: high	—
Feature	Medium	Applies saved X-Axis and Y-Axis when selecting a pinned plot in Perf explorer Applies saved X-Axis and Y-Axis when selecting a pinned plot in Perf explorer Source: llm_adapter@2026-07-18 Confidence: high	—
Feature	Medium	Thins Branch Version Number x-axis tick labels to prevent overlap on wide plots Thins Branch Version Number x-axis tick labels to prevent overlap on wide plots Source: llm_adapter@2026-07-18 Confidence: high	—
Feature	Medium	Adds hosted Bencher MCP server at https://mcp.bencher.dev/mcp for querying benchmark data and submitting runs via Model Context Protocol Adds hosted Bencher MCP server at https://mcp.bencher.dev/mcp for querying benchmark data and submitting runs via Model Context Protocol Source: llm_adapter@2026-07-18 Confidence: high	—

Full changelog

Add a Y-Axis scale toggle to perf plots with three modes (Auto, Linear, and Log); the Auto default preserves the existing adaptive scaling, Log falls back to Auto when the data includes zero or negative values, and the selection is saved in the plot URL, restored for pinned plots, and can be set with bencher plot create --y-axis or changed with bencher plot update --y-axis
Selecting a pinned plot from the Plots tab in the Perf explorer now applies the plot's saved X-Axis and Y-Axis instead of the defaults
Thin the Branch Version Number x-axis tick labels to fit the plot width; previously every version rendered a label, which overlapped into an unreadable smear on plots with many versions
Add Bencher MCP, a hosted Model Context Protocol server at https://mcp.bencher.dev/mcp (/mcp on Self-Hosted); AI agents and assistants can query benchmark data and submit runs with the same permissions as a project API key (bencher_run_*), without needing the bencher CLI installed

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About Bencher

Suite of continuous benchmarking tools designed to catch performance regressions in CI.