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Comparison · DevOps
OSQP vs Speakeasy
A side-by-side editorial comparison of OSQP and Speakeasy — release velocity, themes, recent moves, and the top alternatives to consider.
OSQP vs Speakeasy: at a glance
| Feature | OSQP | Speakeasy |
|---|---|---|
| Sector | DevOps | DevOps |
| Velocity score | 0.0 | 10.0 |
| Sparks · 30d | 0 | 1 |
| Top themes | convex-optimization, quadratic-programming, gpu-acceleration, embedded-solvers | ai-governance, shadow-mcp, policy-enforcement, agent-observability |
| Last editorial update | 8d ago | 1d ago |
| Website | Visit → | — |
What is OSQP?
QP solver that rebuilt its linear algebra layer for GPUs, then went quiet in beta.
OSQP is an operator-splitting quadratic program solver used widely as an embedded optimization backend. Its visible release history stops at the v1.0 beta from May 2023, which was a substantial rework: a pluggable linear algebra backend chosen at compile time, the separate cuOSQP GPU project folded into the main tree, and an Intel MKL backend added. That beta has not been followed by a stable v1.0 in this feed.
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.
OSQP vs Speakeasy: editorial side-by-side
OSQP
0.0DEVOPS
QP solver that rebuilt its linear algebra layer for GPUs, then went quiet in beta.
◆ Current state
OSQP is an operator-splitting quadratic program solver used widely as an embedded optimization backend. Its visible release history stops at the v1.0 beta from May 2023, which was a substantial rework: a pluggable linear algebra backend chosen at compile time, the separate cuOSQP GPU project folded into the main tree, and an Intel MKL backend added. That beta has not been followed by a stable v1.0 in this feed.
◆ Where it's heading
The direction the beta set is clear — OSQP was becoming a solver core that could be retargeted at different compute hardware without changing the algorithm, with CUDA and MKL as the first two targets. Code generation and adjoint derivative computation moving into the C API point the same way, toward embedding OSQP inside other systems including differentiable pipelines.
◆ Prediction
The stable v1.0 is the obvious next milestone, but nothing in these entries indicates when or whether it landed — treat the backend rework as available only in beta form.
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 OSQP 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 OSQP or Speakeasy.
Manticore Search
The 29.0 line is stabilizing in public; 29.1 opens with load-tool work rather than engine work.
Tigris
Tigris keeps publishing its architecture, and the newest post opens up the storage engine itself.
WeWeb
WeWeb is turning the apps it builds into AI products, and metering the AI as it goes.
Workato
Workato is dismantling the assumptions that tied a Genie to one chat window at a time.
Laravel
Laravel's queue work has turned from correctness into operator controls, next to Cloud-named APIs.
See all OSQP alternatives → · See all Speakeasy alternatives →
Recent activity from OSQP and Speakeasy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5d agoSpeakeasyApprove or deny MCP servers with gathered evidence, and pause risk policies without deleting them ⚡
- 6d agoSpeakeasyExact assistant session totals and a hardened dashboard
- 7d agoSpeakeasyConfigure and observe assistants from one panel, and see one person behind many accounts
- 7d agoSpeakeasyFaster assistants, file attachments in chat, and organization names in every language
- 9d agoSpeakeasyAssistants can see images from Slack, and skills are scanned for prompt injection
- 11d agoSpeakeasyDevice Agent is out of preview, with a one-step signed macOS installer
- 3y agoOSQPBeta re-tag adding CI-generated build artifacts
- 3y agoOSQPPluggable linear algebra backends, cuOSQP merged in, MKL backend added ⚡
- 5y agoOSQPDevelopment version bump to 0.6.2.dev0
Frequently asked questions
What is the difference between OSQP 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 OSQP 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 OSQP?
Top OSQP alternatives in DevOps are ranked by recent ship velocity. Browse the "OSQP alternatives" section above for the current picks, or visit /alternatives/osqp 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.