This works aims at showing the results of the adoption of low cost hardware to approximate pi. The Raspberry Pi platform was considered as well as 2 Monte Carlo methods and 6 iterative methods based on infinite series. By using the Python programming language and a threshold of 15 hours of execution, the best result obtained was of 1997 decimal places of π. The results obtained show the possibility of adequation of low cost hardware to the problem under consideration. The estimation of π in low cost hardware can be used as a comparison benchmark among different platforms and suggests their use in Numerical Computation tasks.