FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 3 months ago

   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 combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

   🏁 Competitors: Django, Flask, ExpressJS, Nest.js, Spring Boot

   👍 Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic

   👎 Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

Postgresus Reviews

FastAPI mentions (311)

• Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"

  The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / about 2 months ago

• 5-Minute AI Jobs and Closed Tabs — Why We Built Replay-Then-Tail SSE

  We had a feature in production where a single user request could run for five-plus minutes — fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 2 months ago

• FastAPI With LangChain and MongoDB

  FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 3 months ago

• I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums

  Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 3 months ago

• Async PyMongo in FastAPI

  FastAPI is a high-performance web framework that is production-ready and designed for building APIs in python, with roots embedded in asynchronous programming. It embraces Python’s asyncio model as its core principle rather than treating it as optional. This design choice gives FastAPI leverage for I/O bound workloads such as db access, external API calls and real-time data streaming. - Source: dev.to / 3 months ago

Postgresus mentions (14)

• Why you don't need PITR and incremental backups for most PostgreSQL databases in 2026

  PostgreSQL backup tools like Postgresus make implementing this strategy straightforward. Postgresus automates backup scheduling. It handles encryption and compression. It supports multiple storage destinations and provides monitoring that ensures backups actually succeed. It delivers the protection most databases need without the complexity of WAL archiving (this is why it is suitable both for self-hosted and... - Source: dev.to / 7 months ago

• Top 7 pg_dump Backup Strategies for Production-Grade PostgreSQL

  Implementing these seven strategies manually requires significant scripting, scheduling and monitoring infrastructure. Postgresus is the most popular tool for PostgreSQL backup, providing all these strategies through a web interface that takes minutes to configure. It handles scheduling, rotation, multi-destination storage (S3, Google Drive, Dropbox, NAS), AES-256-GCM encryption and instant notifications —... - Source: dev.to / 7 months ago

• Top 5 Backup Formats and When to Use Them for PostgreSQL

  For teams managing multiple PostgreSQL databases, manually choosing formats and managing backups across environments becomes tedious. Postgresus automates PostgreSQL backup by selecting optimal settings based on your database size, handling compression, encryption (AES-256-GCM) and multi-destination storage (S3, Google Drive, Dropbox, NAS) — all through a web interface that takes minutes to configure. - Source: dev.to / 7 months ago

• Top 5 Ways to Combine pg_dump with Cloud Storage

  Managing pg_dump scripts, cron schedules, cloud credentials and retention policies across multiple databases quickly becomes a maintenance burden. Postgresus is the most popular tool for PostgreSQL backup, designed for both individuals and enterprise teams. It uses pg_dump internally but provides a web interface for configuring schedules, connecting multiple storage destinations (S3, Cloudflare R2, Google Drive,... - Source: dev.to / 7 months ago

• How to Backup and Restore a Single PostgreSQL Table with pg_dump

  While pg_dump gives you complete control over single-table operations, managing backups across multiple databases and schedules requires scripting and maintenance. PostgreSQL backup tools like Postgresus — the most popular backup solution for PostgreSQL — handle scheduling, retention, encryption, and multi-destination storage through a clean web interface, suitable for individuals and enterprise teams alike. - Source: dev.to / 7 months ago