Kalman and Bayesian Filters in Python
Kalman and Bayesian Filters in Python by Roger Labbeby Roger Labbe
Shares rank 10 of 16 technical books by recommenders
People recommend it for building intuition on Kalman filters and Bayesian estimation, with tuning, design and pitfalls covered. A critic says free resources cover the topic too.
People recommend it for building intuition on Kalman filters and Bayesian estimation, with tuning, design and pitfalls covered. A critic says free resources cover the topic too.
4 people gave an opinion
- recommend it
- 3
- criticize it
- 1
- approval share
- 75%
Recommended in 1 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 3 people recommend itNeeds 10 or more, not met.
- 3 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 1 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Covers tuning, pitfalls and examples
“The book goes further into topics like tuning, practical design considerations, common pitfalls, and additional examples.”
Comment from 8 Apr 2026 in “Understanding the Kalman Filter with a Simple Radar Example” Helps understanding Kalman filters and estimation
“They really helped me grok Kalman filters but also the more general problem”
Comment from 8 Apr 2026 in “Understanding the Kalman Filter with a Simple Radar Example”
What people warn about
Each mark is one comment
Free resources cover the same topic
“This seems to be an ad for a fairly expensive book on a topic that is described in detail in many (free) resources.”
Comment from 8 Apr 2026 in “Understanding the Kalman Filter with a Simple Radar Example” Seems like an advertisement
“This seems to be an ad for a fairly expensive book on a topic that is described in detail in many (free) resources.”
Comment from 8 Apr 2026 in “Understanding the Kalman Filter with a Simple Radar Example”
Other technical books people recommend
The four most recommended other technical books, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Linux From Scratchby the LFS Project | 72 | 19 | 79% | 9 | 20 yrs13 owners | Approved |
| Game Engine White Papers: Commander Keen | 13 | 2 | 87% | 4 | — | Approved |
| Offline password cracking bookby Bojta | 10 | 0 | 100% | 1 | — | — |
| FreeBSD Handbookby FreeBSD Documentation Project | 9 | 1 | 90% | 4 | — | — |
| Kalman and Bayesian Filters in Pythonby Roger LabbeThis page | 3 | 1 | 75% | 1 | — | — |
What people said
3 of the 4 comments that mention it, newest first. Each links to the original comment.
“They really helped me grok Kalman filters but also the more general problem”
“The book goes further into topics like tuning, practical design considerations, common pitfalls, and additional examples.”
“This seems to be an ad for a fairly expensive book on a topic that is described in detail in many (free) resources.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.