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PyTokenCalc
About Universal token counting for ANY LLM.
Universal token counting for ANY LLM. 20+ providers (cloud + local), custom models, pattern-based forward-compatibility, 99%+ accuracy. - Mullassery/PyTokenCalc
You're building an LLM application that uses multiple providers. You need to count tokens accurately and manage rate limits. But here's the nightmare:
OpenAI has tiktoken. Different API, different methods. Meta's Llama has HuggingFace tokenizers. Another integration. Claude? No public tokenizer. You have to call the API just to count tokens. Gemini? Same problem. API-only, proprietary. Groq, DeepInfra, Together? They all count differently. Good luck.
You end up with:
❌ 10+ different libraries to install
❌ Different APIs for each provider
❌ Expensive API calls just to count tokens (200-500ms each)
❌ No consistent way to get token counts
❌ Wasted time integrating providers instead of building features
This is madness. You just want to count tokens.
The Solution: PyTokenCalc - pip install pytokencalc
One library. One API. All providers.
About PyTokenCalc on Product Hunt
“About Universal token counting for ANY LLM. ”
PyTokenCalc was submitted on Product Hunt and earned 17 upvotes and 7 comments, placing #76 on the daily leaderboard. Universal token counting for ANY LLM. 20+ providers (cloud + local), custom models, pattern-based forward-compatibility, 99%+ accuracy. - Mullassery/PyTokenCalc
On the analytics side, PyTokenCalc competes within Artificial Intelligence and GitHub — topics that collectively have 515.6k followers on Product Hunt. The dashboard above tracks how PyTokenCalc performed against the three products that launched closest to it on the same day.
Who hunted PyTokenCalc?
PyTokenCalc was hunted by Georgi Mullassery. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PyTokenCalc including community comment highlights and product details, visit the product overview.
Georgi Mullassery