You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@toree.apache.org by lb...@apache.org on 2016/05/20 20:02:20 UTC
[2/2] incubator-toree git commit: [skip ci] Added a disclaimer
regarding LGPL dependency to README
[skip ci] Added a disclaimer regarding LGPL dependency to README
Project: http://git-wip-us.apache.org/repos/asf/incubator-toree/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-toree/commit/b59a600e
Tree: http://git-wip-us.apache.org/repos/asf/incubator-toree/tree/b59a600e
Diff: http://git-wip-us.apache.org/repos/asf/incubator-toree/diff/b59a600e
Branch: refs/heads/master
Commit: b59a600e6a0e7bf7698a1463954fcdb6e2426845
Parents: 7540760
Author: Gino Bustelo <lb...@apache.org>
Authored: Fri May 20 15:02:21 2016 -0500
Committer: Gino Bustelo <lb...@apache.org>
Committed: Fri May 20 15:02:21 2016 -0500
----------------------------------------------------------------------
README.md | 6 ++++++
1 file changed, 6 insertions(+)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-toree/blob/b59a600e/README.md
----------------------------------------------------------------------
diff --git a/README.md b/README.md
index 8d5ed66..b459dbf 100644
--- a/README.md
+++ b/README.md
@@ -18,6 +18,12 @@ Toree provides an interface that allows clients to interact with a Spark Cluster
The main supported language is `Scala`, but it is also capable of processing both `Python` and `R`. It implements the latest Jupyter message protocol (5.0), so it can easily plug into the latest releases of Jupyter/IPython (3.2.x+ and 4.x+) for quick, interactive data exploration.
+#### Disclaimer
+This project is currently not fully compliant with Apache release policy
+as it includes a runtime dependency that is licensed as LGPL v3 (plus a static
+linking exception). This package is currently under an effort to re-license
+(https://github.com/zeromq/jeromq/issues/327).
+
Try It
======
A version of Toree is deployed as part of the [Try Jupyter!][try-jupyter] site. Select `Scala 2.10.4 (Spark 1.4.1)` under the `New` dropdown. Note that this version only supports `Scala`.