Best Telegram Bot Framework in 2026: aiogram vs python-telegram-bot vs Telegraf vs Grammy

By The Saqarmax Team · August 2026 · 9 min read

Short answer: if you’re building in Python, use aiogram — its async-first design and FSM tooling make it the strongest default in 2026, with python-telegram-bot a close second for teams that want a more conservative, heavily-documented API. If you’re building in Node/TypeScript, use Grammy — it has overtaken Telegraf as the more actively maintained, better-typed option, though Telegraf’s massive plugin ecosystem still makes it viable for legacy or plugin-heavy projects. There is no wrong language here; the choice comes down to your stack, your team’s typing preferences, and how much you need Telegram’s newer API surface (topics, business accounts, stars payments) supported on day one.

Last updated: August 10, 2026

Telegram’s Bot API keeps growing — mini apps, business connections, paid reactions, star payments, and channel-boost events have all landed in the last two years. A framework’s usefulness in 2026 depends heavily on how fast its maintainers track that surface. Below is a practical comparison of the four frameworks that show up in nearly every serious Telegram bot build.

1. aiogram (Python)

aiogram is the modern Python choice, and it’s the one we reach for on most client work. It’s fully async (built on asyncio, no event-loop workarounds needed), has first-class Finite State Machine (FSM) support for multi-step conversations, middleware chains that are genuinely composable, and a filters system that makes routing readable instead of a wall of if statements.

Strengths:
– Native async/await throughout — no bolted-on threading tricks.
– Built-in FSM storage backends (memory, Redis, Mongo) for conversational flows like onboarding wizards or multi-step order forms.
– Router-based architecture (since aiogram 3.x) that scales cleanly across large bots — you can split handlers into modules without circular-import pain.
– Strong Pydantic-based typing on update objects, which pairs well with FastAPI if you’re running a webhook server alongside the bot.
– Fast to add new Bot API methods; the maintainers track Telegram’s changelog closely.

Weaknesses:
– Smaller Stack Overflow footprint than python-telegram-bot, though the official Telegram-based support chat is active and fast.
– The 3.x rewrite broke backward compatibility with 2.x, so older tutorials online are often stale — verify code samples against current docs.

Best for: new Python builds, bots with complex conversational state (support bots, KYC flows, ordering systems), teams already using FastAPI/Pydantic elsewhere in their stack.

2. python-telegram-bot (PTB) (Python)

PTB is the elder statesman of Python Telegram frameworks — mature, extensively documented, and still very actively maintained. It moved to a fully async architecture years ago and hasn’t looked back.

Strengths:
– Enormous body of documentation, wiki examples, and community Q&A — the deepest resource pool of any framework in this list.
– ConversationHandler covers most multi-step flows well, even if it’s less flexible than aiogram’s FSM.
– JobQueue built in for scheduled/delayed tasks (reminders, recurring digests) without needing a separate scheduler library for simple cases.
– Very stable API — breaking changes are rarer and well-flagged in migration guides.

Weaknesses:
– Slightly more verbose for advanced routing patterns compared to aiogram’s router/filter system.
– Some newer Bot API features land in aiogram a bit before PTB, though the gap is usually just weeks.

Best for: teams that value stability and documentation depth over cutting-edge feature velocity, and projects where multiple contributors of varying skill levels need to onboard fast using well-trodden examples.

3. Grammy (TypeScript/JavaScript)

Grammy is the Node ecosystem’s answer to aiogram — it was built specifically to fix pain points in Telegraf and has become the default recommendation for new TypeScript bots.

Strengths:
– Excellent TypeScript support out of the box — types are precise and update as the Bot API changes, which matters a lot if you’re catching bugs at compile time instead of runtime.
– Plugin system (sessions, conversations, rate limiting, runner for high-throughput webhook processing) that’s smaller than Telegraf’s but more consistently maintained.
– grammy runner handles high-concurrency polling setups well, useful if you’re not on webhooks.
– Active maintainer response time — issues and Bot API updates get addressed quickly.
– Deno and Bun support alongside Node, useful if you’re not locked into a specific runtime.

Weaknesses:
– Smaller plugin marketplace than Telegraf’s, though the core plugins cover 90% of real-world needs (sessions, conversations, hydrate, auto-retry).
– Younger project — less “battle scar” content online compared to Telegraf, though this gap is closing fast.

Best for: new TypeScript/JavaScript bots, teams that want compile-time safety on Telegram’s update payloads, and projects planning to scale into high-throughput webhook handling.

4. Telegraf (Node.js/TypeScript)

Telegraf was the default Node framework for years and still powers a large share of production bots. It’s not going anywhere, but it’s no longer the obvious first pick for new projects.

Strengths:
– Huge plugin ecosystem accumulated over nearly a decade — session stores, scene managers, rate limiters, and integrations for almost anything.
– Middleware pattern is simple and well understood (heavily inspired by Koa/Express), so JS developers pick it up in minutes.
– Massive amount of existing production code and tutorials — useful when hiring or when you inherit a legacy bot.

Weaknesses:
– TypeScript types have historically lagged behind Bot API changes and are less precise than Grammy’s.
– Maintenance cadence has been slower and less predictable in the last couple of years — some community plugins are stale or abandoned.
– Scene/session APIs feel dated next to Grammy’s conversation plugin.

Best for: maintaining or extending an existing Telegraf codebase, or when you need a specific legacy plugin that hasn’t been ported to Grammy.

Side-by-Side Comparison

Performance and Scale Considerations

For most bots — even ones serving tens of thousands of users — framework choice won’t be your bottleneck. Your database, your webhook infrastructure, and how you handle rate limits against Telegram’s API (30 messages/second globally, 1/second per chat) matter far more than raw framework overhead. All four frameworks handle webhook and long-polling modes competently at production scale when paired with a proper queue (Redis, BullMQ, Celery) for outbound message bursts — something we build into every bot we ship, since naive for loops sending bulk messages are the single most common way client bots get rate-limited or banned.

If you’re scoping a bot that will eventually need to talk to other platforms too — say, forwarding updates into Discord — the framework choice matters less than your overall architecture. We cover that specific integration pattern in our guide to cross-posting between Discord and Telegram.

How to Choose

• Building fresh in Python and want the most modern developer experience: aiogram.
• Building fresh in Python but prioritize documentation depth and long-term stability over bleeding-edge features: python-telegram-bot.
• Building fresh in TypeScript/JavaScript: Grammy, unless you have a specific dependency on a Telegraf-only plugin.
• Inheriting or extending an existing Node bot: stay on Telegraf unless the migration cost to Grammy is justified by a broader rewrite.
• Team is polyglot and undecided: default to Python + aiogram. It has the shallowest learning curve for FSM-heavy bots (which is most bots beyond a simple FAQ responder) and the widest hiring pool for freelance help.

None of these frameworks solve architecture problems on their own — rate limiting, database schema for user state, admin tooling, and moderation logic still need to be designed well regardless of which library sits underneath. If you’re scoping a bot with real business logic (payments, subscriptions, multi-admin permissions), it’s worth reading what a full-stack blockchain developer actually does and what a custom Telegram bot costs to build before committing to a framework — the framework is maybe 10% of the total engineering effort.

About Saqarmax — Saqarmax is a blockchain and automation studio building smart contracts, full-stack dApps, and custom bots for founders who need working software, not theory.

Need a Telegram bot built right? Get in touch or order on Fiverr.