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Comparison · DevOps
ps vs Speakeasy
A side-by-side editorial comparison of ps and Speakeasy — release velocity, themes, recent moves, and the top alternatives to consider.
ps vs Speakeasy: at a glance
| Feature | ps | Speakeasy |
|---|---|---|
| Sector | DevOps | DevOps |
| Velocity score | 0.0 | 10.0 |
| Sparks · 30d | 0 | 1 |
| Top themes | processes, r-lib, processx, cross-platform | ai-governance, shadow-mcp, policy-enforcement, agent-observability |
| Last editorial update | 5d ago | 1d ago |
| Website | Visit → | — |
What is ps?
ps grew from a process inspector into the thing that reliably kills what you started.
ps is the cross-platform process API underneath processx and callr, and its recent work splits between widening what it can query and hardening the guarantee that a handle still refers to the process you think it does. Version 1.8.0 added interruptible multi-process waiting, vectorised signalling, and graceful kill with a TERM-then-KILL grace period. Version 1.9.3 rebuilt Linux process creation times on a clock pair instead of integer-second boot time, closing a window where two processes could look identical.
What is Speakeasy?
Speakeasy stopped inventorying MCP servers and started adjudicating them.
Speakeasy ships near-daily platform releases with unusually legible notes — each headline states what changed for a user, not a version number. The current one turns the Shadow MCP page into a single review surface where every server carries an approval state and an automatically gathered evidence dossier: publisher, requested scopes, declared capabilities, maintenance signals, and whether internal teams already talk to it. Decisions enforce on record. Around it, the assistant surfaces have been consolidating: one detail panel for configuration and observation, exact session totals, and canonical identities folding a person's work and personal AI accounts together.
ps vs Speakeasy: editorial side-by-side
ps
0.0DEVOPS
ps grew from a process inspector into the thing that reliably kills what you started.
◆ Current state
ps is the cross-platform process API underneath processx and callr, and its recent work splits between widening what it can query and hardening the guarantee that a handle still refers to the process you think it does. Version 1.8.0 added interruptible multi-process waiting, vectorised signalling, and graceful kill with a TERM-then-KILL grace period. Version 1.9.3 rebuilt Linux process creation times on a clock pair instead of integer-second boot time, closing a window where two processes could look identical.
◆ Where it's heading
The direction is from observation to control. Early releases in view are per-process queries — CPU times, memory, affinity — and the newer ones are orchestration: wait on many processes with a timeout, signal a list of handles at once, terminate a tree politely before forcing it. The create-time precision work is what makes that safe, since a handle's identity is a PID plus a start time, and a one-second resolution start time is not enough to rule out PID reuse on a busy machine.
◆ Prediction
Expect the remaining platform-specific gaps in ps_status() and ps_apps() to close before any new capability area opens, since the recent additions have all been driven by processx issue reports.
Speakeasy
10.0DEVOPS
Speakeasy stopped inventorying MCP servers and started adjudicating them.
◆ Current state
Speakeasy ships near-daily platform releases with unusually legible notes — each headline states what changed for a user, not a version number. The current one turns the Shadow MCP page into a single review surface where every server carries an approval state and an automatically gathered evidence dossier: publisher, requested scopes, declared capabilities, maintenance signals, and whether internal teams already talk to it. Decisions enforce on record. Around it, the assistant surfaces have been consolidating: one detail panel for configuration and observation, exact session totals, and canonical identities folding a person's work and personal AI accounts together.
◆ Where it's heading
The arc runs observe, then intercept, now adjudicate. Earlier releases catalogued spend and inventoried shadow MCP servers; the LiteLLM integration moved enforcement to the proxy so a violating prompt dies before inference; this release supplies the judgment layer, doing the research an approver would otherwise do by hand. The supporting work points the same way — prompt-injection scanning of captured skill manifests, risk policies that pause instead of being deleted, identity resolution that reports a whole person rather than an account. Each is a piece a control plane needs before its verdicts can be trusted.
◆ Prediction
Expect approval state to start gating traffic rather than only recording a decision, and the evidence dossier to extend from MCP servers to the skills and assistants already being captured. The rollout flag on the approval workflow suggests general availability is the next step rather than new capability.
Alternatives to ps and Speakeasy
Other DevOps products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ps or Speakeasy.
Appwrite
Appwrite keeps reworking its own plumbing — Go CLI, SquashFS mounts, and an MCP layer that refreshes itself
FusionAuth
FusionAuth's feed publishes version numbers; whether they carry news is a coin flip.
Sanity
Sanity ships across every package at once, and the agent-facing surface moves fastest.
ESP-IDF
The 6.1 candidate arrives carrying the same notes the beta already shipped in June.
Auth0
Auth0 hands tenants a throttle on their own noisy apps
See all ps alternatives → · See all Speakeasy alternatives →
Recent activity from ps and Speakeasy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4d agoSpeakeasyApprove or deny MCP servers with gathered evidence, and pause risk policies without deleting them ⚡
- 5d agoSpeakeasyExact assistant session totals and a hardened dashboard
- 6d agoSpeakeasyConfigure and observe assistants from one panel, and see one person behind many accounts
- 6d agoSpeakeasyFaster assistants, file attachments in chat, and organization names in every language
- 8d agoSpeakeasyAssistants can see images from Slack, and skills are scanned for prompt injection
- 10d agoSpeakeasyDevice Agent is out of preview, with a one-step signed macOS installer
- 4mo agopsSub-second process create times on Linux
- 4mo agopsps_string() for unique process identification
- 1y agopsBuild correctly on Alpine Linux
- 1y agopsmaxrss reporting and selectable columns in ps()
- 1y agopsInstallable again on unsupported platforms
- 1y agopsMulti-process waiting, vectorised signals and graceful kill ⚡
Frequently asked questions
What is the difference between ps and Speakeasy?
They serve adjacent needs but don't currently overlap on shipped themes. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ps better than Speakeasy?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Speakeasy is currently shipping more aggressively (velocity 10.0 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.
What are the best alternatives to ps?
Top ps alternatives in DevOps are ranked by recent ship velocity. Browse the "ps alternatives" section above for the current picks, or visit /alternatives/ps-r for the full list with editorial commentary on each.
What are the best alternatives to Speakeasy?
Top Speakeasy alternatives in DevOps are ranked by recent ship velocity. Browse the "Speakeasy alternatives" section above for the current picks, or visit /alternatives/speakeasy for the full list with editorial commentary on each.