Adding subdataset support for hdf4 data sources (i.e. downloaded MODIS netcdf file), wrapping SoilScape data, and adding expiration to cache.

This release also drops Python 3.5 support.


  • Subdataset support in Rasterio Node, see #410

  • Adding SoilScape data source, and disk cache expiration, see #419

  • PyDAP node will now retry requests incase of server throttling, see 514dc5da3975fa1c6051f0da1691cf5ba4972bf8


  • Added dimensions to modis and cosmos compositors

  • Fixed version numbers in smap_egi datasource, and these are now looked up automatically

  • Fixed a precision bug on selection with time coordinates


Bug Fixes

  • Fixed floating point errors on selection of data subset (short circuit optimization to avoid unnecessary interpolation)

  • Fixed bug in cosmos_stations.latlon_from_label giving the wrong latlon for a label

  • Fixing compositor to update interpolation of sources automatically (and deleting cached definitions).

    • Also making cached node definitions easier to remove – no longer caching node.json, node.json_pretty and node.hash



Wrapping Landsat8, Sentinel2, and MODIS data and improving interpolation.


  • Added datalib.satutils which wraps Landsat8 and Sentinel2 data

  • Added datalib.modis_pds which wraps MODIS products [“MCD43A4.006”, “MOD09GA.006”, “MYD09GA.006”, “MOD09GQ.006”, “MYD09GQ.006”]

  • Added settings[‘AWS_REQUESTER_PAYS’] and authentication.S3Mixing.aws_requester_pays attribute to support Sentinel2 data

  • Added issubset method to Coordinates which allows users to test if a coordinate is a subset of another one

  • Added environmental variables in Lambda function deployment allowing users to specify the location of additional dependencies (FUNCTION_DEPENDENCIES_KEY) and settings (SETTINGS). This was in support the WMS service.

  • Intake nodes can now filter inputs by additional data columns for .csv files / pandas dataframes by using the pandas query method.

  • Added documentation on Interpolation and Wrapping Datasets

Bug Fixes

  • Added dims attributes to Compositor nodes which indicates the dimensions that sources are expected to have. This fixes a bug where Nodes throw and error if Coordinates contain extra dimensions when the Compositor sources are missing those dimensions.

  • COSMOSStations will no longer fail for sites with no data or one data point. These sites are now automatically filtered.

  • Fixed closing files prematurely due to using context managers

  • Fixed heterogenous interpolation (where lat/lon uses a different interpolator than time, for example)

  • datalib.TerrainTiles now accesses S3 anonymously by default. Interpolation specified at the compositor level are also now passed down to the sources.

Breaking changes

  • Fixed and in the process removed SpatialConvolution and TemporalConvolutions. Users now have to label the dimensions of the kernel – which prevents results from being modified if the eval coordinates are transposed. This was a major bug in the Convolution node, and the new change obviates the need for the removed Nodes, but it may break some pipelines.



Fixing some bugs associated with AWS evaluation and the drought-monitor application


  • Added algorithm.TransformTimeUnits algorithm to be able to utilize time in terms of dayofyear

  • Added Coordinates.transform_time method to transform YYYY-MM-DD time units to something like dayofyear

Bug Fixes

  • Removed region_name from authentication.S3Mixin because it is not a valid argument

  • Made the algorithm.Mask node simpler to JSON serialize

  • Made interpolator tolerant of string-based timedelta values

  • Added the crs to Node outputs if it is not present – this caused issues with the union call in Algorithm.eval

  • Fixed data.Zarr’s open_consolidated call. It was erroneously passing the r argument.




  • Added MODIS datasource datalib.modis_pds

  • Added datalib.weathercitizen to retrieve weathercitizen data

  • Added datalib.cosmos_stations to retrieve soil moisture data from the stationary COSMOS soil moisture network

  • Added algorithm.ResampleReduce, which allows users to coarsen a dataset based on a reduce operation (such as mean, max, etc.).

  • Added the managers.parallel submodule that enables parallel computation with PODPAC in a multi-threaded, multi-process, or multi-AWS-Lambda-function way

  • Added the managers.multi_process submodule that enables PODPAC nodes to be run in another process.

  • Added the compositor.UniformTileCompositor and compositor.UniformTileMixin to enable compositing of data sources BEFORE harmonization (so that interpolation can happen across data sources with the same coordinate systems)

  • Added the validate_crs flag to Coordinates so that validation of the crs can be skipped if needed (this improved speed)

  • Added attribute so that Python will only wait a certain amount of time before returning from a invoke call.

  • Added asynchronous evaluation of Nodes. Note! This does not do error checking (e.g. exceeding AWS allocation f the number of allowed concurrent threads).

  • Added alglib.climatology, which allows computation of Beta distribution fits to time series for each day of the year

  • Added core.algorithm.stats.DayOfYearWindow, which is similar to GroupReduce, but also allows a window for the computation and only works for time

  • Coordinates will now be automatically simplified when transformed from one crs to another. Previously, transformations always resulted in DependentCoordinates. This change adds the .simply method to some Coordinates1d classes.

  • Improved performance of PODPAC AWS Lambda function by only downloading dependencies when the function is not already “hot”. “Hot” functions retain the files in the /tmp directory of the Lambda function.

  • data.Zarr will now use zarr.open_consolidated whenever the file_mode='r' for more efficient read operations on S3

  • Added podpac’s version to pipeline definitions

Bug Fixes

  • Fixed algorithm.GroupReduce to accept dayofyear, weekofyear, season, and month. It also now returns the time coordinate in one of these units.

  • Implemented a circular dependency check to avoid infinite recursion and locking up due to cache accessing. This change also defined the NodeDefinitionError exception.

  • Fixed the UnitsDataArray.to_format function’s zarr_part format to work propertly with parallel computations

  • Added the [algorithm] dependencies as part of the AWS Lambda function build – previously the numexpr Python package was missing

Breaking changes

  • Renamed native_coordinates to coordinates

  • Deprecated Pipeline nodes

  • Removed ctype and segment_length from Coordinates. Now specify the boundary attribute for DataSource nodes instead.

  • Fixed datalib.smap_egi module to work with xarray version 0.15

  • Modified PODPAC’s root setting directory from ~/.podpac to ~/.config/podpac

  • Changed default cache behaviour to overwrite by default (prevents certain cache lock situations)

  • Removed datalib.airmoss – it was no longer working!


  • Refactored the way PODPAC keeps track of Node definition. Most all of it is now handled by the base class, previously DataSource, Algorithm, and Compositor had to implement specialized functions.

  • Refactored datalib nodes to prefer using the new cached_property decorator instead of defaults which were causing severe circular dependencies

  • Refactored DataSource nodes that access files on S3 to use a common Mixin

  • Refactored authentication to use more consistent approach across the library



The purpose of this release was to make the software more robust and to improve the Drought Monitor Application.


  • Algorithm arrays can now be multi-threaded. This allows an algorithm with multiple S3 data sources to fetch the data in parallel before doing the computation, speeding up the process. See #343

  • Improvements to AWS interface. See #336

  • Added budgeting / billing capability to manage AWS resources. See #361

  • Added GeoTIFF export / import capability. Lots of work with geotransforms in the Coordinates object. See #364.

  • Nodes can now have multiple output channels. This support multispectral or multichannel data. See #348.

Bug Fixes

  • When intersecting time coordinate of different precision, no intersection would result. See #344

  • Fixed Array datasource serialization 55fcf30

Breaking Changes

  • The H5PY, CSV, and Zarr nodes interfaces were unified as such, the following attributes have changed:

    • datakey –> data_key

    • latkey –> lat_key

    • lonkey –> lon_key

    • altkey –> alt_key

    • timekey –> time_key

    • keys –> available_keys

    • CSV.lat_col –> lat_key

    • CSV.lon_col –> lon_key

    • CSV.time_col –> time_key

    • CSV.alt_col –> alt_key



The purpose of this release was to develop a short course for AMS2020. A major feature of this release is automated creation of the PODPAC Lambda function. As part of this we implemented a few more additional features, and fixed a number of bugs.


  • Automated Lambda Function creation using PODPAC. See #326, #306

  • Added a context manager for easy temporary settings. See #329

  • Added generic algorithm module with Mask and Generic nodes. See #325, #323

    • Note, this required the new unsafe evaluation setting ce8dd68355c1635214644bb5295325918493da63 bbe251a893212ea42b8c41103330e6dad0e235fe

  • Added styles to node serialization, enabling customization of WMS layers. See #317

  • Made mode attr’s read-only by default. See #315

  • Updated the definition of advanced interpolation for nodes 05163b44ca7ab66729150991bf7a6995382e3c35

Bug Fixes

  • Corrected string comparison in AWS Lambda function 7dbaf3f7d79c740cb00a37580fed259d59472e55

  • _first_init usage should have called super c02dc0387fe3de9223bfac6165d7bc60922982d4

  • Made style definition consistent 279eab9c40abcd8e8fb49afe366d28058391cfc6

  • Fixed DroughtCategory algorithm – the upper limit was not correct 9b92bb70b9e9de96d68ed67c4f3b053f71052229

  • Fixed failure on pre-commit hook installation for dev version of podpac aebe6b0e1db39c802e5613582774594c225c6ff1 #322

  • Fixed to interpolation #320 f9ad4936a8df0ce9a46f12a7c71b8c50d2ef0701 f9ad4936a8df0ce9a46f12a7c71b8c50d2ef0701 fadf939db1f679594d22690da7a58c6554705440

  • Fixed error due to missing quality flag in SMAP(EGI) node 26fcb169bd1b137c51d00aa0bc7ddd2f1ae686d8

Breaking Changes

  • The Pipeline Node is being deprecated, targeted for 2.0 release. Use Node.from_json instead.


  • BUG: Fix version.HOTFIX

  • DOC: Add a release procedure (


  • DOC: Add user guide for Settings

  • DOC: Improve Documentation For Nodes (#57)

  • DOC: Deploy documentation site to

  • TEST: Add coordinate testing (#3)

  • ENH: Cache evaluation results and check the cache before evaluating (#125)

  • ENH: Add datalib for TerrainTiles

  • ENH: Add datalib for GFS

  • ENH: AWS - Update Dockerfile for AWS Lambda to support podpac changes


  • BUG: Fix unit tests with renamed decorator

  • BUG: Fix file path sanitization

  • ENH: Make SMAP_BASE_URL check lazy to avoid warning at import

  • ENH: Remove deprecated caching methods from Node


Initial public release