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FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

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Approval-first IT automation for mid-market IT teams and MSPs. 31 production runbooks handle the identity, access and provisioning work behind high-volume L1 tickets. Every action needs explicit human approval. Slack and Microsoft Teams native.

Which is more popular?
Based on our record, FastAPI seems to be more popular. It has been mentioned 316 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | fastapi.tiangolo.com | ascendcore.ai |
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| Platforms | — | |
| Company | Startup from Colombia | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of FastAPI yet.
AscendCore is agentic AI for the L1 IT help desk that resolves tickets, not just chats about them. Two properties define it. It is deterministic: every request runs a versioned, auditable runbook held in source control, never free-form model output. And it is approval-first: nothing touches a...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of AscendCore yet.
Walkthroughs and reviews on video.
FastAPI from the ground up
More videos
AscendCore product demo: approval-first IT automation
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing FastAPI and AscendCore.
AscendCore's answer:
AscendCore is approval-first: the AI never executes anything. It classifies intent, then a named human approves or denies on an interactive card in Slack or Microsoft Teams, and only then does a deterministic runbook run. The classifier holds no credentials and has no execution path.
Every approval and execution is appended to a SHA-256 hash chain in which each record contains the prior record's hash. Customers can export that chain and re-hash it offline to prove nothing was altered. Independent customer verification of the audit trail is uncommon in this category, and it is the part security and audit reviewers care most about.
The runbooks themselves are deterministic TypeScript orchestrators rather than generated output, so the same request produces the same sequence of API calls every time.
AscendCore's answer:
Three things you can verify before you talk to anyone:
Published pricing. Core is $4 per user per month and Professional is $8, listed publicly at ascendcore.ai/pricing. No call required to see a number.
Days, not months. Self-serve onboarding with no certified-partner engagement. Observe mode can be live in under 2 hours, and a 30-day pilot is included with no credit card.
Governance you can check yourself. Open the live demo at ascendcore.ai/demo/dashboard/governance without signing up, click Verify, and watch the audit chain re-hash from genesis.
Honest scope: AscendCore is not a full ITSM system of record. There is no CMDB and no complete ITIL suite. If you need those, keep your platform and run AscendCore alongside it as the approval-first action and orchestration layer.
AscendCore's answer:
Mid-market IT teams, roughly 500 to 3,000 employees, running a modern identity and endpoint stack (Okta or Microsoft Entra ID, Microsoft 365, Intune) and absorbing high L1 ticket volume without matching headcount growth.
Typical buyers are IT directors, IT operations managers and CISOs who need automation that can pass an audit, not automation that acts on its own.
The second audience is MSPs, VARs and systems integrators running L1 queues on behalf of their clients, who want to automate that work without replacing the ITSM platform each client already runs.
AscendCore's answer:
AscendCore was founded in 2026 in Pittsburgh, Pennsylvania, and incorporated as a Delaware C-Corporation.
Founder Jacob Kelly spent a decade on the go-to-market side of enterprise IT services, sitting in the same buyer conversation over and over. One pattern kept surfacing: a large share of service-desk volume is a short list of repetitive identity and access requests, and the teams handling them were not short on intent to automate. They were short on a way to automate that their own security and audit reviewers would sign off on.
Most tools failed that review the same way. They either asked the customer to hand execution authority to a model, or they produced no evidence a reviewer could independently verify. AscendCore was built from the opposite constraint: assume every action must be approved by a named human and provable afterward, then make that path fast enough to be worth using.
AscendCore's answer:
TypeScript end to end. The application is Next.js, deployed on Netlify's US edge, with Postgres (Neon) backing the audit chain and operational data.
Runbooks are deterministic TypeScript orchestrators held in version control rather than model-generated steps, so execution is repeatable and reviewable.
Intent classification uses a hosted large language model confined to one job: turning a natural-language request into a structured intent. It holds no credentials and has no execution path.
Integrations are direct API connectors to Okta, Microsoft Entra ID, Microsoft 365, Intune, Slack, Microsoft Teams, Jira Service Management, Confluence and ServiceNow. Inbound webhooks are verified with HMAC-SHA256 for Slack and JWT validation against the Microsoft Bot Framework JWKS for Teams.
Share your experience with using FastAPI and AscendCore. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding. The...
FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.
Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack...
We have no reviews of AscendCore yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Under the hood it's Flutter on the client and FastAPI with PostgreSQL on the server. WebSockets for realtime, WebRTC for calls, object storage for media, and small services for speech and translation. Android, iOS, Windows and Linux. The... - Source: dev.to / 10 days ago
Using FastAPI, FastStream, and dishka lets us follow Clean Architecture principles and almost avoid leaky abstractions. The prototype also used Pydantic and SQLAlchemy. I do not focus on them because these technologies are already... - Source: dev.to / 18 days ago
If your FastAPI app talks to a database through SQLAlchemy, chances are high you will meet it sooner or later. Not on your machine, of course. It shows up in production, after a few quiet hours, under load. And the reflex is always the... - Source: dev.to / 24 days ago
Tracking AscendCore since Aug 2026.
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